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Autor Niu, Ben |
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TÃtulo : Advances in Swarm Intelligence : 10th International Conference, ICSI 2019, Chiang Mai, Thailand, July 26–30, 2019, Proceedings, Part I / Tipo de documento: documento electrónico Autores: Tan, Ying, ; Shi, Yuhui, ; Niu, Ben, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2019 Número de páginas: XIX, 462 p. 181 ilustraciones, 106 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-26369-0 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Algoritmos Inteligencia artificial Red de computadoras Unidades aritméticas y lógicas informáticas. Software de la aplicacion Redes de comunicación informática Estructuras aritméticas y lógicas Aplicaciones informáticas y de sistemas de información Clasificación: 518.1 Resumen: El conjunto de dos volúmenes de LNCS 11655 y 11656 constituye las actas de la Décima Conferencia Internacional sobre Avances en Inteligencia de Enjambre, ICSI 2019, celebrada en Chiang Mai, Tailandia, en junio de 2019. El total de 82 artÃculos presentados en estos volúmenes fue revisado cuidadosamente. y seleccionado entre 179 presentaciones. Los artÃculos se organizaron en secciones temáticas de la siguiente manera: Parte I: Métodos y algoritmos novedosos para la optimización; optimización de Enjambre de partÃculas; optimización de colonias de hormigas; algoritmos de fuegos artificiales y optimización de tormentas de ideas; algoritmos y mejoras de inteligencia de enjambre; algoritmo genético y evolución diferencial; robótica de enjambre. Parte II: Sistema multiagente; optimización multiobjetivo; Redes neuronales; aprendizaje automático; identificación y reconocimiento; gráfico de conocimiento y computación social; Calidad del servicio y gestión energética. Nota de contenido: Novel Models and Algorithms for Optimization -- Generative Adversarial Optimization -- Digital Model of Swarm Unit System with Interruptions -- Algorithm Integration Behavior for Discovering Group Membership Rules -- Success History Based Position Adaptation in Co-Operation of Biology Related Algorithms -- An Inter-Peer Communication Mechanism Based Water Cycle Algorithm -- Cooperation-based Gene Regulatory Network for Target Entrapment -- Population-based Metaheuristics for Planning Interval Training Sessions in Mountain Biking -- Comparison of Infrastructure and Adhoc Modes in Survivable Networks Enabled by Evolutionary Swarms -- Particle Swarm Optimization -- An Analysis of Control Parameter Importance in the Particle Swarm Optimization Algorithm -- Parameters Optimization Of Relay Self-Oscillations Sampled Data Controller Based On Particle Swarm Optimization -- Niching Particle Swarm Optimizer with Entropy-based Exploration Strategy for Global Optimization -- A Study on Designing an Aperiodic Antenna Array using Boolean PSO -- Building Energy Performance Optimization: A New Multi-Objective Particle Swarm Method -- A Novel PSOEDE Algorithm for Vehicle Scheduling Problem in Public Transportation -- Hierarchical Competition Framework for Particle Swarm Optimization -- Study on Method of Cutting Trajectory Planning Based on Improved Particle Swarm Optimization for Roadheader -- Variants and Parameter Investigations of Particle Swarm Optimisation for Solving Course Timetabling Problems -- Ant Colony Optimization -- Multiple Start Modifications Of Ant Colony Algorithm For Multiversion Software Design -- Ant Colony Algorithm for Cell Tracking Based on Gaussian Cloud Model -- Physarum-based Ant Colony Optimization for Graph Coloring Problem -- Ant Colony Algorithm Based Scheduling with Lot-sizing for Printed Circuit Board Assembly Shop -- Variable Speed Robot Navigation by an ACO Approach -- Solving Scheduling Problem in PCB Assembly and Its Optimization Using ACO -- Fireworks Algorithms and Brain Storm Optimization -- Accelerating Fireworks Algorithm with Weight-based Guiding Sparks -- Last-position Elimination-based Fireworks Algorithm for Function Optimization -- Planar Thinned Antenna Array Synthesis Using Modified Brain Storm Optimization -- Refrigerated Showcase Fault Detection by a Correntropy Based Artificial Neural Network Using Fast Brain Storm Optimization -- Swarm Intelligence Algorithms and Improvements -- Automatic Diet Generation by Artificial Bee Colony Algorithm -- A Multi-strategy Artificial Bee Colony Algorithm with Neighborhood Search -- Cuckoo Search Algorithm for Border Reconstruction of Medical Images with Rational Curves -- Quantum Behaved Fruit Fly Optimization Algorithm for Continuous Function Optimization Problems -- Parameter Estimation of a Nonlinear Hydrologic Model for Channel Flood Routing with The Bat Algorithm -- Bacterial Foraging Optimization with Memory and Clone Schemesfor Dynamic Environments -- Genetic Algorithm and Differential Evolution -- Evaluation of Genetic Algorithm and Hybrid Genetic Algorithm-Hill Climbing with Elitist for Lecturer University Timetabling Problem -- Federated Learning Assisted Interactive EDA with Dual Probabilistic Models for Personalized Search -- Second Order Differential Evolution for Constrained Optimization -- Computability and Stability for Hybrid Algorithms -- Swarm Robotics -- Stochastic Self-Organizing Control for Swarm Robot Systems -- Framework for Evaluation of Swarm-based Chemical Reaction Optimization Algorithm -- Mixed Game Pigeon-inspired Optimization for Unmanned Aircraft System Swarm Formation -- Research on UAV Task Assignment Method Based on Parental Genetic Algorithm -- A Comparison among the Denavit - Hartenberg, the Screw Theory, and the Iterative Methods to Solve Inverse Kinematics for Assistant Robot Arm. Tipo de medio : Computadora Summary : The two-volume set of LNCS 11655 and 11656 constitutes the proceedings of the 10th International Conference on Advances in Swarm Intelligence, ICSI 2019, held in Chiang Mai, Thailand, in June 2019. The total of 82 papers presented in these volumes was carefully reviewed and selected from 179 submissions. The papers were organized in topical sections as follows: Part I: Novel methods and algorithms for optimization; particle swarm optimization; ant colony optimization; fireworks algorithms and brain storm optimization; swarm intelligence algorithms and improvements; genetic algorithm and differential evolution; swarm robotics. Part II: Multi-agent system; multi-objective optimization; neural networks; machine learning; identification and recognition; social computing and knowledge graph; service quality and energy management. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Advances in Swarm Intelligence : 10th International Conference, ICSI 2019, Chiang Mai, Thailand, July 26–30, 2019, Proceedings, Part I / [documento electrónico] / Tan, Ying, ; Shi, Yuhui, ; Niu, Ben, . - 1 ed. . - [s.l.] : Springer, 2019 . - XIX, 462 p. 181 ilustraciones, 106 ilustraciones en color.
ISBN : 978-3-030-26369-0
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Algoritmos Inteligencia artificial Red de computadoras Unidades aritméticas y lógicas informáticas. Software de la aplicacion Redes de comunicación informática Estructuras aritméticas y lógicas Aplicaciones informáticas y de sistemas de información Clasificación: 518.1 Resumen: El conjunto de dos volúmenes de LNCS 11655 y 11656 constituye las actas de la Décima Conferencia Internacional sobre Avances en Inteligencia de Enjambre, ICSI 2019, celebrada en Chiang Mai, Tailandia, en junio de 2019. El total de 82 artÃculos presentados en estos volúmenes fue revisado cuidadosamente. y seleccionado entre 179 presentaciones. Los artÃculos se organizaron en secciones temáticas de la siguiente manera: Parte I: Métodos y algoritmos novedosos para la optimización; optimización de Enjambre de partÃculas; optimización de colonias de hormigas; algoritmos de fuegos artificiales y optimización de tormentas de ideas; algoritmos y mejoras de inteligencia de enjambre; algoritmo genético y evolución diferencial; robótica de enjambre. Parte II: Sistema multiagente; optimización multiobjetivo; Redes neuronales; aprendizaje automático; identificación y reconocimiento; gráfico de conocimiento y computación social; Calidad del servicio y gestión energética. Nota de contenido: Novel Models and Algorithms for Optimization -- Generative Adversarial Optimization -- Digital Model of Swarm Unit System with Interruptions -- Algorithm Integration Behavior for Discovering Group Membership Rules -- Success History Based Position Adaptation in Co-Operation of Biology Related Algorithms -- An Inter-Peer Communication Mechanism Based Water Cycle Algorithm -- Cooperation-based Gene Regulatory Network for Target Entrapment -- Population-based Metaheuristics for Planning Interval Training Sessions in Mountain Biking -- Comparison of Infrastructure and Adhoc Modes in Survivable Networks Enabled by Evolutionary Swarms -- Particle Swarm Optimization -- An Analysis of Control Parameter Importance in the Particle Swarm Optimization Algorithm -- Parameters Optimization Of Relay Self-Oscillations Sampled Data Controller Based On Particle Swarm Optimization -- Niching Particle Swarm Optimizer with Entropy-based Exploration Strategy for Global Optimization -- A Study on Designing an Aperiodic Antenna Array using Boolean PSO -- Building Energy Performance Optimization: A New Multi-Objective Particle Swarm Method -- A Novel PSOEDE Algorithm for Vehicle Scheduling Problem in Public Transportation -- Hierarchical Competition Framework for Particle Swarm Optimization -- Study on Method of Cutting Trajectory Planning Based on Improved Particle Swarm Optimization for Roadheader -- Variants and Parameter Investigations of Particle Swarm Optimisation for Solving Course Timetabling Problems -- Ant Colony Optimization -- Multiple Start Modifications Of Ant Colony Algorithm For Multiversion Software Design -- Ant Colony Algorithm for Cell Tracking Based on Gaussian Cloud Model -- Physarum-based Ant Colony Optimization for Graph Coloring Problem -- Ant Colony Algorithm Based Scheduling with Lot-sizing for Printed Circuit Board Assembly Shop -- Variable Speed Robot Navigation by an ACO Approach -- Solving Scheduling Problem in PCB Assembly and Its Optimization Using ACO -- Fireworks Algorithms and Brain Storm Optimization -- Accelerating Fireworks Algorithm with Weight-based Guiding Sparks -- Last-position Elimination-based Fireworks Algorithm for Function Optimization -- Planar Thinned Antenna Array Synthesis Using Modified Brain Storm Optimization -- Refrigerated Showcase Fault Detection by a Correntropy Based Artificial Neural Network Using Fast Brain Storm Optimization -- Swarm Intelligence Algorithms and Improvements -- Automatic Diet Generation by Artificial Bee Colony Algorithm -- A Multi-strategy Artificial Bee Colony Algorithm with Neighborhood Search -- Cuckoo Search Algorithm for Border Reconstruction of Medical Images with Rational Curves -- Quantum Behaved Fruit Fly Optimization Algorithm for Continuous Function Optimization Problems -- Parameter Estimation of a Nonlinear Hydrologic Model for Channel Flood Routing with The Bat Algorithm -- Bacterial Foraging Optimization with Memory and Clone Schemesfor Dynamic Environments -- Genetic Algorithm and Differential Evolution -- Evaluation of Genetic Algorithm and Hybrid Genetic Algorithm-Hill Climbing with Elitist for Lecturer University Timetabling Problem -- Federated Learning Assisted Interactive EDA with Dual Probabilistic Models for Personalized Search -- Second Order Differential Evolution for Constrained Optimization -- Computability and Stability for Hybrid Algorithms -- Swarm Robotics -- Stochastic Self-Organizing Control for Swarm Robot Systems -- Framework for Evaluation of Swarm-based Chemical Reaction Optimization Algorithm -- Mixed Game Pigeon-inspired Optimization for Unmanned Aircraft System Swarm Formation -- Research on UAV Task Assignment Method Based on Parental Genetic Algorithm -- A Comparison among the Denavit - Hartenberg, the Screw Theory, and the Iterative Methods to Solve Inverse Kinematics for Assistant Robot Arm. Tipo de medio : Computadora Summary : The two-volume set of LNCS 11655 and 11656 constitutes the proceedings of the 10th International Conference on Advances in Swarm Intelligence, ICSI 2019, held in Chiang Mai, Thailand, in June 2019. The total of 82 papers presented in these volumes was carefully reviewed and selected from 179 submissions. The papers were organized in topical sections as follows: Part I: Novel methods and algorithms for optimization; particle swarm optimization; ant colony optimization; fireworks algorithms and brain storm optimization; swarm intelligence algorithms and improvements; genetic algorithm and differential evolution; swarm robotics. Part II: Multi-agent system; multi-objective optimization; neural networks; machine learning; identification and recognition; social computing and knowledge graph; service quality and energy management. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Advances in Swarm Intelligence : 10th International Conference, ICSI 2019, Chiang Mai, Thailand, July 26–30, 2019, Proceedings, Part II / Tipo de documento: documento electrónico Autores: Tan, Ying, ; Shi, Yuhui, ; Niu, Ben, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2019 Número de páginas: XX, 414 p. 230 ilustraciones, 115 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-26354-6 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Algoritmos Inteligencia artificial Red de computadoras Unidades aritméticas y lógicas informáticas. Software de la aplicacion Redes de comunicación informática Estructuras aritméticas y lógicas Aplicaciones informáticas y de sistemas de información Clasificación: 518.1 Resumen: El conjunto de dos volúmenes de LNCS 11655 y 11656 constituye las actas de la Décima Conferencia Internacional sobre Avances en Inteligencia de Enjambre, ICSI 2019, celebrada en Chiang Mai, Tailandia, en junio de 2019. El total de 82 artÃculos presentados en estos volúmenes fue revisado cuidadosamente. y seleccionado entre 179 presentaciones. Los artÃculos se organizaron en secciones temáticas de la siguiente manera: Parte I: Métodos y algoritmos novedosos para la optimización; optimización de Enjambre de partÃculas; optimización de colonias de hormigas; algoritmos de fuegos artificiales y optimización de tormentas de ideas; algoritmos y mejoras de inteligencia de enjambre; algoritmo genético y evolución diferencial; robótica de enjambre. Parte II: Sistema multiagente; optimización multiobjetivo; Redes neuronales; aprendizaje automático; identificación y reconocimiento; gráfico de conocimiento y computación social; Calidad del servicio y gestión energética. Nota de contenido: Multi-agent System -- Multi-robot Cooperation Strategy in a Partially Observable Markov Game Using Enhanced Deep Deterministic Policy Gradient -- Research on the Construction of Underwater Platform Combat Deduction System Based on Service-Oriented and Multi-Agent Technology -- Context-aware Layered Learning for Argumentation Based Multiagent Collaborative Recognition -- TH-GRN Model Based Collective Tracking in Confined Environment -- Multi-Objective Optimization -- Multi-objective Optimization of a Steering Linkage Using Alternative Objective Functions -- Using two reproduction operators for Balancing Convergence and Diversity in MOEA/D -- A Surrogate-Assisted Improved Many-Objective Evolutionary Algorithm -- Research of Multi-objective Personalized Recommendation Algorithm Based on Multi-thread Concurrency -- Multi-criteria Recommender Systems Based on Multi-objective Hydrologic Cycle Optimization -- Neural Networks -- Convolutional Neural Network Inception-v3: A Machine Learning Approach for Leveling Short-Range Rainfall Forecast Model from Satellite Image -- Application of Convolutional Neural Network in Object Recognition of Remote Sensing Image -- Paragraph Coherence Detection Model Based on Recurrent Neural Networks -- Use of Artificial Neural Networks in Determining Domestic Violence Predictors -- Acute Lymphoblastic Leukemia Cell Detection in Microscopic Digital Images Based on Shape and Texture Features -- Novel Algorithm for Blind Classification of Space-Time Block Codes in cognitive radio -- Spiking Neural Models and Their Application in DNA Microarrays Classification -- An Unified View on the Feedforward Neural Network Architecture -- Machine Learning -- Efficient Android Phishing Detection Based on Improved Naïve Bayes Algorithm -- Parkinson Disease Analysis Using Supervised and Unsupervised Techniques -- Implementation of the Eclipse Process Framework Composer Tool for the Documentation of Quality Management Systems: A Case Applied in HealthcareServices -- Enkephalon - Technological Platform to Support the Diagnosis of Alzheimer's Disease through the Analysis of Resonance Images Using Data Mining Techniques -- Experience on Learning through an AR-based Course -- Identification and Recognition -- Seismograph Design for Landslide Monitoring in The Andean Region Using Automatic Control Techniques and Mathematical Modeling -- Improving Chinese Named Entity Recognition with Semantic Information of Character Multi-position Representation -- The Discourse Structure Recognition Model Based on Text Classification -- Ballistic Wind Speed Identification Method Based on Hierarchical Optimization Algorithm -- BackgroundNet: Small Dataset-based Object Detection in Stationary Scenes -- A New Method for Identification of Essential Proteins by Information Entropy of Protein Complex and Subcellular Localization -- Research on Fault Diagnosis Method Based on RSAPSO-DBN -- Standard Modeling Practice Research for A Safety Technical Disclosure of WindTurbine Maintenance Systems -- Social Computing and Knowledge Graph -- The Critical Factor Prompting the Usage of a Social Computing -- Social Coalition-based V2V Broadcasting Optimization Algorithm in VANETs -- An Interpretable Recommendations Approach Based On User Preferences And Knowledge Graph -- WSIA: Web Ontological Search Engine based on Smart Agents Applied to Scientific Articles -- Service Quality and Energy Management -- Record Management in the Cloud: Service Quality and Service Level Agreement -- Recovering Scale in Monocular DSO Using Multi-sensor Data -- Energy Management Strategy (EMS) for Hybrid Electric Vehicles Based on Safe Experimentation Dynamics (SED) -- Serial Interface Converter of Micromechanical Sensors to a Parallel Interface -- The Location Privacy Preserving Scheme Based on Hilbert Curve for Indoor LBS -- SSwWS: Structural Model of Information Architecture. Tipo de medio : Computadora Summary : The two-volume set of LNCS 11655 and 11656 constitutes the proceedings of the 10th International Conference on Advances in Swarm Intelligence, ICSI 2019, held in Chiang Mai, Thailand, in June 2019. The total of 82 papers presented in these volumes was carefully reviewed and selected from 179 submissions. The papers were organized in topical sections as follows: Part I: Novel methods and algorithms for optimization; particle swarm optimization; ant colony optimization; fireworks algorithms and brain storm optimization; swarm intelligence algorithms and improvements; genetic algorithm and differential evolution; swarm robotics. Part II: Multi-agent system; multi-objective optimization; neural networks; machine learning; identification and recognition; social computing and knowledge graph; service quality and energy management. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Advances in Swarm Intelligence : 10th International Conference, ICSI 2019, Chiang Mai, Thailand, July 26–30, 2019, Proceedings, Part II / [documento electrónico] / Tan, Ying, ; Shi, Yuhui, ; Niu, Ben, . - 1 ed. . - [s.l.] : Springer, 2019 . - XX, 414 p. 230 ilustraciones, 115 ilustraciones en color.
ISBN : 978-3-030-26354-6
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Algoritmos Inteligencia artificial Red de computadoras Unidades aritméticas y lógicas informáticas. Software de la aplicacion Redes de comunicación informática Estructuras aritméticas y lógicas Aplicaciones informáticas y de sistemas de información Clasificación: 518.1 Resumen: El conjunto de dos volúmenes de LNCS 11655 y 11656 constituye las actas de la Décima Conferencia Internacional sobre Avances en Inteligencia de Enjambre, ICSI 2019, celebrada en Chiang Mai, Tailandia, en junio de 2019. El total de 82 artÃculos presentados en estos volúmenes fue revisado cuidadosamente. y seleccionado entre 179 presentaciones. Los artÃculos se organizaron en secciones temáticas de la siguiente manera: Parte I: Métodos y algoritmos novedosos para la optimización; optimización de Enjambre de partÃculas; optimización de colonias de hormigas; algoritmos de fuegos artificiales y optimización de tormentas de ideas; algoritmos y mejoras de inteligencia de enjambre; algoritmo genético y evolución diferencial; robótica de enjambre. Parte II: Sistema multiagente; optimización multiobjetivo; Redes neuronales; aprendizaje automático; identificación y reconocimiento; gráfico de conocimiento y computación social; Calidad del servicio y gestión energética. Nota de contenido: Multi-agent System -- Multi-robot Cooperation Strategy in a Partially Observable Markov Game Using Enhanced Deep Deterministic Policy Gradient -- Research on the Construction of Underwater Platform Combat Deduction System Based on Service-Oriented and Multi-Agent Technology -- Context-aware Layered Learning for Argumentation Based Multiagent Collaborative Recognition -- TH-GRN Model Based Collective Tracking in Confined Environment -- Multi-Objective Optimization -- Multi-objective Optimization of a Steering Linkage Using Alternative Objective Functions -- Using two reproduction operators for Balancing Convergence and Diversity in MOEA/D -- A Surrogate-Assisted Improved Many-Objective Evolutionary Algorithm -- Research of Multi-objective Personalized Recommendation Algorithm Based on Multi-thread Concurrency -- Multi-criteria Recommender Systems Based on Multi-objective Hydrologic Cycle Optimization -- Neural Networks -- Convolutional Neural Network Inception-v3: A Machine Learning Approach for Leveling Short-Range Rainfall Forecast Model from Satellite Image -- Application of Convolutional Neural Network in Object Recognition of Remote Sensing Image -- Paragraph Coherence Detection Model Based on Recurrent Neural Networks -- Use of Artificial Neural Networks in Determining Domestic Violence Predictors -- Acute Lymphoblastic Leukemia Cell Detection in Microscopic Digital Images Based on Shape and Texture Features -- Novel Algorithm for Blind Classification of Space-Time Block Codes in cognitive radio -- Spiking Neural Models and Their Application in DNA Microarrays Classification -- An Unified View on the Feedforward Neural Network Architecture -- Machine Learning -- Efficient Android Phishing Detection Based on Improved Naïve Bayes Algorithm -- Parkinson Disease Analysis Using Supervised and Unsupervised Techniques -- Implementation of the Eclipse Process Framework Composer Tool for the Documentation of Quality Management Systems: A Case Applied in HealthcareServices -- Enkephalon - Technological Platform to Support the Diagnosis of Alzheimer's Disease through the Analysis of Resonance Images Using Data Mining Techniques -- Experience on Learning through an AR-based Course -- Identification and Recognition -- Seismograph Design for Landslide Monitoring in The Andean Region Using Automatic Control Techniques and Mathematical Modeling -- Improving Chinese Named Entity Recognition with Semantic Information of Character Multi-position Representation -- The Discourse Structure Recognition Model Based on Text Classification -- Ballistic Wind Speed Identification Method Based on Hierarchical Optimization Algorithm -- BackgroundNet: Small Dataset-based Object Detection in Stationary Scenes -- A New Method for Identification of Essential Proteins by Information Entropy of Protein Complex and Subcellular Localization -- Research on Fault Diagnosis Method Based on RSAPSO-DBN -- Standard Modeling Practice Research for A Safety Technical Disclosure of WindTurbine Maintenance Systems -- Social Computing and Knowledge Graph -- The Critical Factor Prompting the Usage of a Social Computing -- Social Coalition-based V2V Broadcasting Optimization Algorithm in VANETs -- An Interpretable Recommendations Approach Based On User Preferences And Knowledge Graph -- WSIA: Web Ontological Search Engine based on Smart Agents Applied to Scientific Articles -- Service Quality and Energy Management -- Record Management in the Cloud: Service Quality and Service Level Agreement -- Recovering Scale in Monocular DSO Using Multi-sensor Data -- Energy Management Strategy (EMS) for Hybrid Electric Vehicles Based on Safe Experimentation Dynamics (SED) -- Serial Interface Converter of Micromechanical Sensors to a Parallel Interface -- The Location Privacy Preserving Scheme Based on Hilbert Curve for Indoor LBS -- SSwWS: Structural Model of Information Architecture. Tipo de medio : Computadora Summary : The two-volume set of LNCS 11655 and 11656 constitutes the proceedings of the 10th International Conference on Advances in Swarm Intelligence, ICSI 2019, held in Chiang Mai, Thailand, in June 2019. The total of 82 papers presented in these volumes was carefully reviewed and selected from 179 submissions. The papers were organized in topical sections as follows: Part I: Novel methods and algorithms for optimization; particle swarm optimization; ant colony optimization; fireworks algorithms and brain storm optimization; swarm intelligence algorithms and improvements; genetic algorithm and differential evolution; swarm robotics. Part II: Multi-agent system; multi-objective optimization; neural networks; machine learning; identification and recognition; social computing and knowledge graph; service quality and energy management. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Advances in Swarm Intelligence : 8th International Conference, ICSI 2017, Fukuoka, Japan, July 27 – August 1, 2017, Proceedings, Part II / Tipo de documento: documento electrónico Autores: Tan, Ying, ; Takagi, Hideyuki, ; Shi, Yuhui, ; Niu, Ben, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2017 Número de páginas: XXVII, 641 p. 214 ilustraciones ISBN/ISSN/DL: 978-3-319-61833-3 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Algoritmos Análisis numérico Procesamiento de datos Inteligencia artificial Simulación por ordenador MinerÃa de datos y descubrimiento de conocimientos Modelado por computadora Clasificación: 518.1 Resumen: El conjunto de dos volúmenes de LNCS 10385 y 10386 constituye las actas de la 8.ª Conferencia Internacional sobre Avances en Inteligencia de Enjambre, ICSI 2017, celebrada en Fukuoka, Japón, en julio/agosto de 2017. El total de 133 artÃculos presentados en estos volúmenes fue cuidadosamente revisado y seleccionado entre 267 presentaciones. El artÃculo se organizó en secciones temáticas de la siguiente manera: Parte I: teorÃas y modelos de inteligencia de enjambre; novedosos algoritmos de optimización basados ​​en enjambres; optimización de Enjambre de partÃculas; aplicaciones de optimización de enjambres de partÃculas; optimización de colonias de hormigas; algoritmos de colonias de abejas artificiales; algoritmos genéticos; evolución diferencial; algoritmo de fuegos artificiales; algoritmo de optimización de tormenta de ideas; búsqueda de cuco; y algoritmo de luciérnaga. Parte II: optimización multiobjetivo; optimización de cartera; detección comunitaria; sistemas multiagente y robótica de enjambre; algoritmos y aplicaciones de optimización hÃbrida; enfoque difuso y enjambre; agrupamiento y pronóstico; clasificación y detección; problemas de planificación y rutas; aplicaciones de sistemas de diálogo; control robótico; y otras aplicaciones. . Nota de contenido: Multi-objective Optimization -- A Parametric Study of Crossover Operators in Pareto-based Multiobjective Evolutionary Algorithm -- Non-dominated Sorting and Crowding Distance Based Multi-objective Chaotic Evolution -- On Performance Improvement based on Restart Meta-Heuristic Implementation for Solving Multi-Objective Optimization Problems -- Using multi-objective evolutionary algorithm to solve dynamic environment and economic dispatch with EVs -- Improved Interval Multi-objective Evolutionary Optimization Algorithm based on Directed Graph -- A Novel Linear Time Invariant Systems Order Reduction Approach based on Cooperative Multi-Objective Genetic Algorithm -- Solving Constrained Multi-objective Optimization Problems with Evolutionary Algorithms -- Portfolio Optimization -- Multi-objective Comprehensive Learning Bacterial Foraging Optimization for Portfolio Optimization -- Metaheuristics for Portfolio Optimization -- Community Detection -- Community Detection under Exponential Random Graph Model: A Metaheuristic Approach -- An Enhanced Particle Swarm Optimization Based on Physarum Model for Community Detection -- The Design and Development of the Virtual Learning Community for Teaching Resources Personalized Recommendation -- The Effect of Event Sentiment on Product Recommendation in a Microblog Platform -- Multi-Agent Systems and Swarm Robotics -- Solar Irradiance Forecasting Based on the Multi-agent Adaptive Fuzzy Neuronet -- Passive Field Dynamics Method: an Advanced Physics-based Approach for Formation Control of Robot Swarm -- Adaptive Potential Fields Model for Solving Distributed Area Coverage Problem in Swarm Robotics -- Swarm-based Spreading Points -- A Survivability Enhanced Swarm Robotic Searching System Using Multi-Objective Particle Swarm Optimization -- Autonomous Coordinated Navigation of Virtual Swarm Bots in Dynamic Indoor Environments by Bat Algorithm -- Building Fractals with a Robot Swarm -- A Stigmergy Based Search Method for Swarm Robots -- Cooperative Control of Multi-Robot System Using Mobile Agent for Multi Source Localization -- Hybrid Optimization Algorithms and Applications -- Evolutionary Fuzzy Control of Three Robots Cooperatively Carrying an Object for Wall Following through the Fusion of Continuous ACO and PSO -- Optimal Operational Planning of Energy Plants by Multi-population Differential Evolutionary Particle Swarm Optimization -- A Review on Hybridization of Particle Swarm Optimization with Artificial Bee Colony -- Study on Greedy Search to Improve Simulated Annealing Algorithm for Large-scale Traveling Salesman Problem -- A Hybrid Swarm based Composition for Chinese Music -- Fuzzy and Swarm Approach -- Fuzzy Logic Controller Design for Tuning the Cooperation of Bio-Inspired Algorithms -- Making Capital Budgeting Decisions for Project Abandonment by Fuzzy Approach -- An Imputation for Missing Data Features based on Fuzzy Swarm Approach in Heart Disease Classification -- Clustering and Forecast -- Total Optimization of Smart City Using Initial Searching Points Generation Based on k-means Algorithm -- Clustering Analysis of ECG Data Streams -- A Novel Multi-cell Multi-Bernoulli Tracking Method Using Local Fractal Feature Estimation -- An Improved Locality Preserving Projection Method for Dimensionality Reduction with Hyperspectral Image -- Applying a Classification Model for Selecting Postgraduate Programs -- University Restaurant Sales Forecast Based on BP neural Network - In Shanghai Jiao Tong University Case -- Classification and Detection -- Swarm ANN/SVR-based modeling method for warfarin dose prediction in Chinese -- A Novel HPSOSA for Kernel Function Type and Parameter Optimization of SVR in Rainfall Forecasting -- An Improved Weighted ELM with Krill Herd Algorithm for Imbalanced Learning -- Fast Pseudo Random Forest using Discrimination Hyper-space -- A Fast Video Vehicle Detection Approach based on Improved Adaboost Classifier -- Detection of Repetitive Forex Chart Patterns -- Damage Estimation from Cues of Image Change -- Identifying Deceptive Review Comments with Rumor and Lie Theories -- Identifying Fake Review Comments for Hostel Industry -- Planning and Routing Problems -- Multi-UAV Cooperative Path Planning for Sensor Placement Using Cooperative Coevolving Genetic Strategy -- Optimal Micro-Siting Planning Considering Long-Term Electricity Demand -- A Hyper-Heuristic Method for UAV Search Planning -- An Efficient MVMO-SH Method for Optimal Capacitor Allocation in Electric Power Distribution Systems -- A Method of New Workers' Accurate Acceptance of Tasks Using Capable Sensing -- A Genetic Mission Planner for Solving Temporal Multi-agent Problems with Concurrent Tasks -- Reformulation and Metaheuristic for the Team Orienteering Arc Routing Problem -- Application of Smell Detection Agent Based Algorithm for Optimal Path Identification by SDN Controllers -- A Comparison of Heuristic Algorithms for Bus Dispatch -- Simulation and Application of Algorithms CVRP to Optimize the Transport of Minerals Metallic and Nonmetallic by Rail for Export -- Dialog System Applications -- User Intention Classification in An Entities Missed In-vehicle Dialog System -- An Exploratory Study of Factors Affecting Number of Fans on Facebook Based on Dialogic Theory -- Assembling Chinese-Mongolian Speech Corpus via Crowdsourcing -- Robotic Control -- Developing Robot Drumming Skill with Listening-Playing Loop -- Evaluation of Parameters of Transactions When Remote Robot Control -- Desktop Gestures Recognition for Human Computer Interaction -- Approach to the Diagnosis and Configuration of Servo Drives in Heterogeneous Machine Control Systems -- Other Applications -- Gravitational Search Algorithm in Recommendation Systems -- A Driver Model Based on Emotions -- A Binaural Signal Synthesis Approach for Fast Rendering of Moving Sound -- Semantic Evolutionary Visualization. . Tipo de medio : Computadora Summary : The two-volume set of LNCS 10385 and 10386, constitutes the proceedings of the 8th International Conference on Advances in Swarm Intelligence, ICSI 2017, held in Fukuoka, Japan, in July/August 2017. The total of 133 papers presented in these volumes was carefully reviewed and selected from 267 submissions. The paper were organized in topical sections as follows: Part I: theories and models of swarm intelligence; novel swarm-based optimization algorithms; particle swarm optimization; applications of particle swarm optimization; ant colony optimization; artificial bee colony algorithms; genetic algorithms; differential evolution; fireworks algorithm; brain storm optimization algorithm; cuckoo searh; and firefly algorithm. Part II: multi-objective optimization; portfolio optimization; community detection; multi-agent systems and swarm robotics; hybrid optimization algorithms and applications; fuzzy and swarm approach; clustering and forecast; classification and detection; planning and routing problems; dialog system applications; robotic control; and other applications. . Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Advances in Swarm Intelligence : 8th International Conference, ICSI 2017, Fukuoka, Japan, July 27 – August 1, 2017, Proceedings, Part II / [documento electrónico] / Tan, Ying, ; Takagi, Hideyuki, ; Shi, Yuhui, ; Niu, Ben, . - 1 ed. . - [s.l.] : Springer, 2017 . - XXVII, 641 p. 214 ilustraciones.
ISBN : 978-3-319-61833-3
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Algoritmos Análisis numérico Procesamiento de datos Inteligencia artificial Simulación por ordenador MinerÃa de datos y descubrimiento de conocimientos Modelado por computadora Clasificación: 518.1 Resumen: El conjunto de dos volúmenes de LNCS 10385 y 10386 constituye las actas de la 8.ª Conferencia Internacional sobre Avances en Inteligencia de Enjambre, ICSI 2017, celebrada en Fukuoka, Japón, en julio/agosto de 2017. El total de 133 artÃculos presentados en estos volúmenes fue cuidadosamente revisado y seleccionado entre 267 presentaciones. El artÃculo se organizó en secciones temáticas de la siguiente manera: Parte I: teorÃas y modelos de inteligencia de enjambre; novedosos algoritmos de optimización basados ​​en enjambres; optimización de Enjambre de partÃculas; aplicaciones de optimización de enjambres de partÃculas; optimización de colonias de hormigas; algoritmos de colonias de abejas artificiales; algoritmos genéticos; evolución diferencial; algoritmo de fuegos artificiales; algoritmo de optimización de tormenta de ideas; búsqueda de cuco; y algoritmo de luciérnaga. Parte II: optimización multiobjetivo; optimización de cartera; detección comunitaria; sistemas multiagente y robótica de enjambre; algoritmos y aplicaciones de optimización hÃbrida; enfoque difuso y enjambre; agrupamiento y pronóstico; clasificación y detección; problemas de planificación y rutas; aplicaciones de sistemas de diálogo; control robótico; y otras aplicaciones. . Nota de contenido: Multi-objective Optimization -- A Parametric Study of Crossover Operators in Pareto-based Multiobjective Evolutionary Algorithm -- Non-dominated Sorting and Crowding Distance Based Multi-objective Chaotic Evolution -- On Performance Improvement based on Restart Meta-Heuristic Implementation for Solving Multi-Objective Optimization Problems -- Using multi-objective evolutionary algorithm to solve dynamic environment and economic dispatch with EVs -- Improved Interval Multi-objective Evolutionary Optimization Algorithm based on Directed Graph -- A Novel Linear Time Invariant Systems Order Reduction Approach based on Cooperative Multi-Objective Genetic Algorithm -- Solving Constrained Multi-objective Optimization Problems with Evolutionary Algorithms -- Portfolio Optimization -- Multi-objective Comprehensive Learning Bacterial Foraging Optimization for Portfolio Optimization -- Metaheuristics for Portfolio Optimization -- Community Detection -- Community Detection under Exponential Random Graph Model: A Metaheuristic Approach -- An Enhanced Particle Swarm Optimization Based on Physarum Model for Community Detection -- The Design and Development of the Virtual Learning Community for Teaching Resources Personalized Recommendation -- The Effect of Event Sentiment on Product Recommendation in a Microblog Platform -- Multi-Agent Systems and Swarm Robotics -- Solar Irradiance Forecasting Based on the Multi-agent Adaptive Fuzzy Neuronet -- Passive Field Dynamics Method: an Advanced Physics-based Approach for Formation Control of Robot Swarm -- Adaptive Potential Fields Model for Solving Distributed Area Coverage Problem in Swarm Robotics -- Swarm-based Spreading Points -- A Survivability Enhanced Swarm Robotic Searching System Using Multi-Objective Particle Swarm Optimization -- Autonomous Coordinated Navigation of Virtual Swarm Bots in Dynamic Indoor Environments by Bat Algorithm -- Building Fractals with a Robot Swarm -- A Stigmergy Based Search Method for Swarm Robots -- Cooperative Control of Multi-Robot System Using Mobile Agent for Multi Source Localization -- Hybrid Optimization Algorithms and Applications -- Evolutionary Fuzzy Control of Three Robots Cooperatively Carrying an Object for Wall Following through the Fusion of Continuous ACO and PSO -- Optimal Operational Planning of Energy Plants by Multi-population Differential Evolutionary Particle Swarm Optimization -- A Review on Hybridization of Particle Swarm Optimization with Artificial Bee Colony -- Study on Greedy Search to Improve Simulated Annealing Algorithm for Large-scale Traveling Salesman Problem -- A Hybrid Swarm based Composition for Chinese Music -- Fuzzy and Swarm Approach -- Fuzzy Logic Controller Design for Tuning the Cooperation of Bio-Inspired Algorithms -- Making Capital Budgeting Decisions for Project Abandonment by Fuzzy Approach -- An Imputation for Missing Data Features based on Fuzzy Swarm Approach in Heart Disease Classification -- Clustering and Forecast -- Total Optimization of Smart City Using Initial Searching Points Generation Based on k-means Algorithm -- Clustering Analysis of ECG Data Streams -- A Novel Multi-cell Multi-Bernoulli Tracking Method Using Local Fractal Feature Estimation -- An Improved Locality Preserving Projection Method for Dimensionality Reduction with Hyperspectral Image -- Applying a Classification Model for Selecting Postgraduate Programs -- University Restaurant Sales Forecast Based on BP neural Network - In Shanghai Jiao Tong University Case -- Classification and Detection -- Swarm ANN/SVR-based modeling method for warfarin dose prediction in Chinese -- A Novel HPSOSA for Kernel Function Type and Parameter Optimization of SVR in Rainfall Forecasting -- An Improved Weighted ELM with Krill Herd Algorithm for Imbalanced Learning -- Fast Pseudo Random Forest using Discrimination Hyper-space -- A Fast Video Vehicle Detection Approach based on Improved Adaboost Classifier -- Detection of Repetitive Forex Chart Patterns -- Damage Estimation from Cues of Image Change -- Identifying Deceptive Review Comments with Rumor and Lie Theories -- Identifying Fake Review Comments for Hostel Industry -- Planning and Routing Problems -- Multi-UAV Cooperative Path Planning for Sensor Placement Using Cooperative Coevolving Genetic Strategy -- Optimal Micro-Siting Planning Considering Long-Term Electricity Demand -- A Hyper-Heuristic Method for UAV Search Planning -- An Efficient MVMO-SH Method for Optimal Capacitor Allocation in Electric Power Distribution Systems -- A Method of New Workers' Accurate Acceptance of Tasks Using Capable Sensing -- A Genetic Mission Planner for Solving Temporal Multi-agent Problems with Concurrent Tasks -- Reformulation and Metaheuristic for the Team Orienteering Arc Routing Problem -- Application of Smell Detection Agent Based Algorithm for Optimal Path Identification by SDN Controllers -- A Comparison of Heuristic Algorithms for Bus Dispatch -- Simulation and Application of Algorithms CVRP to Optimize the Transport of Minerals Metallic and Nonmetallic by Rail for Export -- Dialog System Applications -- User Intention Classification in An Entities Missed In-vehicle Dialog System -- An Exploratory Study of Factors Affecting Number of Fans on Facebook Based on Dialogic Theory -- Assembling Chinese-Mongolian Speech Corpus via Crowdsourcing -- Robotic Control -- Developing Robot Drumming Skill with Listening-Playing Loop -- Evaluation of Parameters of Transactions When Remote Robot Control -- Desktop Gestures Recognition for Human Computer Interaction -- Approach to the Diagnosis and Configuration of Servo Drives in Heterogeneous Machine Control Systems -- Other Applications -- Gravitational Search Algorithm in Recommendation Systems -- A Driver Model Based on Emotions -- A Binaural Signal Synthesis Approach for Fast Rendering of Moving Sound -- Semantic Evolutionary Visualization. . Tipo de medio : Computadora Summary : The two-volume set of LNCS 10385 and 10386, constitutes the proceedings of the 8th International Conference on Advances in Swarm Intelligence, ICSI 2017, held in Fukuoka, Japan, in July/August 2017. The total of 133 papers presented in these volumes was carefully reviewed and selected from 267 submissions. The paper were organized in topical sections as follows: Part I: theories and models of swarm intelligence; novel swarm-based optimization algorithms; particle swarm optimization; applications of particle swarm optimization; ant colony optimization; artificial bee colony algorithms; genetic algorithms; differential evolution; fireworks algorithm; brain storm optimization algorithm; cuckoo searh; and firefly algorithm. Part II: multi-objective optimization; portfolio optimization; community detection; multi-agent systems and swarm robotics; hybrid optimization algorithms and applications; fuzzy and swarm approach; clustering and forecast; classification and detection; planning and routing problems; dialog system applications; robotic control; and other applications. . Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Control Synthesis of Switched Systems Tipo de documento: documento electrónico Autores: Zhao, Xudong, ; Kao, Yonggui, ; Niu, Ben, ; Wu, Tingting, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2017 Número de páginas: XI, 164 p. 49 ilustraciones, 46 ilustraciones en color. ISBN/ISSN/DL: 978-3-319-44830-5 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: IngenierÃa de control teorÃa del sistema TeorÃa del control Circuitos electrónicos TeorÃa de sistemas y control TeorÃa de Sistemas Control Circuitos y sistemas electrónicos Clasificación: 6.298.312 Resumen: Este libro ofrece a sus lectores una descripción detallada de la sÃntesis de sistemas conmutados, centrándose en la estabilización de conmutación y el control inteligente. Los problemas investigados no sólo no han sido resueltos teóricamente, sino que también tienen importancia práctica en muchas aplicaciones: conversión de voltaje, pilotaje y navegación naval y robótica, por ejemplo. El libro considera modelos generales de sistemas conmutados y proporciona métodos de diseño más eficientes para unir la teorÃa y la aplicación más estrechamente de lo que era posible utilizando los métodos clásicos. También analiza varias clases diferentes de sistemas conmutados. Para los sistemas lineales conmutados generales y los sistemas no lineales conmutados que comprenden subsistemas inestables, introduce ideas novedosas como la teorÃa del subespacio invariante y el método de función de Lyapunov programado en el tiempo para diseñar señales de conmutación para estabilizar los sistemas subyacentes. Para algunos sistemas no lineales conmutados tÃpicos afectados por diversas dinámicas complejas, el libro propone enfoques de diseño novedosos basados ​​en conceptos de control inteligente. Es una fuente útil de métodos y algoritmos de diseño actualizados para investigadores que estudian sistemas conmutados y estudiantes graduados en teorÃa de control e ingenierÃa. Además, es un valioso recurso de referencia para los ingenieros en ejercicio que trabajan en el diseño de control de sistemas conmutados. Los lectores deben tener conocimientos básicos de sistemas lineales, no lineales y conmutados. Nota de contenido: Introduction -- Stabilization of Switched Systems with Constraint Switching -- Stabilization of Switched Systems with Unstable Subsystems -- Adaptive Control for Uncertain Switched Nonlinear Systems -- Adaptive Control for Stochastic Switched Nonlinear Systems -- Adaptive Control for High-order Switched Nonlinear Systems -- Conclusions and Future Work. Tipo de medio : Computadora Summary : This book offers its readers a detailed overview of the synthesis of switched systems, with a focus on switching stabilization and intelligent control. The problems investigated are not only previously unsolved theoretically but also of practical importance in many applications: voltage conversion, naval piloting and navigation and robotics, for example. The book considers general switched-system models and provides more efficient design methods to bring together theory and application more closely than was possible using classical methods. It also discusses several different classes of switched systems. For general switched linear systems and switched nonlinear systems comprising unstable subsystems, it introduces novel ideas such as invariant subspace theory and the time-scheduled Lyapunov function method of designing switching signals to stabilize the underlying systems. For some typical switched nonlinear systems affected by various complex dynamics, the book proposes novel design approaches based on intelligent control concepts. It is a useful source of up-to-date design methods and algorithms for researchers studying switched systems and graduate students of control theory and engineering. In addition, it is a valuable reference resource for practising engineers working in switched-system control design. Readers should have a basic knowledge of linear, nonlinear and switched systems. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Control Synthesis of Switched Systems [documento electrónico] / Zhao, Xudong, ; Kao, Yonggui, ; Niu, Ben, ; Wu, Tingting, . - 1 ed. . - [s.l.] : Springer, 2017 . - XI, 164 p. 49 ilustraciones, 46 ilustraciones en color.
ISBN : 978-3-319-44830-5
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: IngenierÃa de control teorÃa del sistema TeorÃa del control Circuitos electrónicos TeorÃa de sistemas y control TeorÃa de Sistemas Control Circuitos y sistemas electrónicos Clasificación: 6.298.312 Resumen: Este libro ofrece a sus lectores una descripción detallada de la sÃntesis de sistemas conmutados, centrándose en la estabilización de conmutación y el control inteligente. Los problemas investigados no sólo no han sido resueltos teóricamente, sino que también tienen importancia práctica en muchas aplicaciones: conversión de voltaje, pilotaje y navegación naval y robótica, por ejemplo. El libro considera modelos generales de sistemas conmutados y proporciona métodos de diseño más eficientes para unir la teorÃa y la aplicación más estrechamente de lo que era posible utilizando los métodos clásicos. También analiza varias clases diferentes de sistemas conmutados. Para los sistemas lineales conmutados generales y los sistemas no lineales conmutados que comprenden subsistemas inestables, introduce ideas novedosas como la teorÃa del subespacio invariante y el método de función de Lyapunov programado en el tiempo para diseñar señales de conmutación para estabilizar los sistemas subyacentes. Para algunos sistemas no lineales conmutados tÃpicos afectados por diversas dinámicas complejas, el libro propone enfoques de diseño novedosos basados ​​en conceptos de control inteligente. Es una fuente útil de métodos y algoritmos de diseño actualizados para investigadores que estudian sistemas conmutados y estudiantes graduados en teorÃa de control e ingenierÃa. Además, es un valioso recurso de referencia para los ingenieros en ejercicio que trabajan en el diseño de control de sistemas conmutados. Los lectores deben tener conocimientos básicos de sistemas lineales, no lineales y conmutados. Nota de contenido: Introduction -- Stabilization of Switched Systems with Constraint Switching -- Stabilization of Switched Systems with Unstable Subsystems -- Adaptive Control for Uncertain Switched Nonlinear Systems -- Adaptive Control for Stochastic Switched Nonlinear Systems -- Adaptive Control for High-order Switched Nonlinear Systems -- Conclusions and Future Work. Tipo de medio : Computadora Summary : This book offers its readers a detailed overview of the synthesis of switched systems, with a focus on switching stabilization and intelligent control. The problems investigated are not only previously unsolved theoretically but also of practical importance in many applications: voltage conversion, naval piloting and navigation and robotics, for example. The book considers general switched-system models and provides more efficient design methods to bring together theory and application more closely than was possible using classical methods. It also discusses several different classes of switched systems. For general switched linear systems and switched nonlinear systems comprising unstable subsystems, it introduces novel ideas such as invariant subspace theory and the time-scheduled Lyapunov function method of designing switching signals to stabilize the underlying systems. For some typical switched nonlinear systems affected by various complex dynamics, the book proposes novel design approaches based on intelligent control concepts. It is a useful source of up-to-date design methods and algorithms for researchers studying switched systems and graduate students of control theory and engineering. In addition, it is a valuable reference resource for practising engineers working in switched-system control design. Readers should have a basic knowledge of linear, nonlinear and switched systems. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
