| Titre : |
Cooperative Control of Complex Network Systems with Dynamic Topologies. |
| Type de document : |
texte imprimé |
| Auteurs : |
Guanghui Wen, Auteur ; Wenwu Yu, Auteur ; Peijun Wang ; Yuezu Lv, Auteur |
| Editeur : |
New York : CRC press |
| Année de publication : |
2021 |
| Importance : |
304 p |
| Présentation : |
couv:ill. |
| Format : |
1.76 x 17.8 x 25.4 cm |
| ISBN/ISSN/EAN : |
978-1-03-201917-8 |
| Langues : |
Anglais (eng) |
| Mots-clés : |
Complex networks
Cooperative control
Dynamic topologies
Multi-agent systems
Distributed control
Network synchronization
Consensus algorithms
Graph theory
Networked systems
Adaptive control
Switched systems
Nonlinear dynamics |
| Résumé : |
This comprehensive volume by Guanghui Wen, Wenwu Yu, Peijun Wang, and Yuezu Lv addresses the cutting-edge field of cooperative control for complex network systems characterized by dynamic topologies. The book systematically explores theoretical frameworks and practical approaches for controlling networks where the connection patterns between nodes evolve over time.
The authors present rigorous mathematical foundations for analyzing network stability, controllability, and performance in dynamic environments. Beginning with fundamentals of graph theory and network modeling, the text progresses to advanced topics including consensus algorithms, formation control, and synchronization protocols specifically designed for networks with time-varying structures.
A significant portion of the work is dedicated to addressing practical challenges such as communication constraints, time delays, and uncertainty in dynamic network environments. The book incorporates both continuous-time and discrete-time system frameworks, providing comprehensive coverage of different modeling approaches relevant to various application domains.
The theoretical developments are complemented by illustrative case studies from diverse fields including robotic swarms, power grids, transportation networks, and social systems. These examples demonstrate how the presented methodologies can be implemented to solve real-world coordination and control problems.
This text serves as an invaluable resource for researchers, graduate students, and practitioners in control engineering, applied mathematics, and complex systems science seeking to understand and implement cooperative control strategies in networks with evolving interaction patterns.RéessayerClaude peut faire des erreurs. Assurez-vous de vérifier ses réponses. |
Cooperative Control of Complex Network Systems with Dynamic Topologies. [texte imprimé] / Guanghui Wen, Auteur ; Wenwu Yu, Auteur ; Peijun Wang ; Yuezu Lv, Auteur . - New York : CRC press, 2021 . - 304 p : couv:ill. ; 1.76 x 17.8 x 25.4 cm. ISBN : 978-1-03-201917-8 Langues : Anglais ( eng)
| Mots-clés : |
Complex networks
Cooperative control
Dynamic topologies
Multi-agent systems
Distributed control
Network synchronization
Consensus algorithms
Graph theory
Networked systems
Adaptive control
Switched systems
Nonlinear dynamics |
| Résumé : |
This comprehensive volume by Guanghui Wen, Wenwu Yu, Peijun Wang, and Yuezu Lv addresses the cutting-edge field of cooperative control for complex network systems characterized by dynamic topologies. The book systematically explores theoretical frameworks and practical approaches for controlling networks where the connection patterns between nodes evolve over time.
The authors present rigorous mathematical foundations for analyzing network stability, controllability, and performance in dynamic environments. Beginning with fundamentals of graph theory and network modeling, the text progresses to advanced topics including consensus algorithms, formation control, and synchronization protocols specifically designed for networks with time-varying structures.
A significant portion of the work is dedicated to addressing practical challenges such as communication constraints, time delays, and uncertainty in dynamic network environments. The book incorporates both continuous-time and discrete-time system frameworks, providing comprehensive coverage of different modeling approaches relevant to various application domains.
The theoretical developments are complemented by illustrative case studies from diverse fields including robotic swarms, power grids, transportation networks, and social systems. These examples demonstrate how the presented methodologies can be implemented to solve real-world coordination and control problems.
This text serves as an invaluable resource for researchers, graduate students, and practitioners in control engineering, applied mathematics, and complex systems science seeking to understand and implement cooperative control strategies in networks with evolving interaction patterns.RéessayerClaude peut faire des erreurs. Assurez-vous de vérifier ses réponses. |
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