Formation and Containment Control for High-order Linear Swarm Systems

This book focuses on analysis and design problems for high-order linear time-invariant (LTI) swarm systems (multi-agent systems) to achieve consensus, formation, containment and formation-containment. As a first step, the concepts of practical consensus and formation-containment are introduced. Unli...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Dong, Xiwang (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Colección:Springer Theses, Recognizing Outstanding Ph.D. Research,
Temas:
Control engineering.
System theory.
Control theory.
Artificial intelligence.
Control and Systems Theory.
Systems Theory, Control .
Complex Systems.
Artificial Intelligence.
Acceso en línea:Texto Completo

MARC

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245 1 0 |a Formation and Containment Control for High-order Linear Swarm Systems  |h [electronic resource] /  |c by Xiwang Dong. 
250 |a 1st ed. 2016. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2016. 
300 |a XIX, 170 p. 41 illus., 27 illus. in color.  |b online resource. 
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505 0 |a Introduction -- Preliminaries -- Consensus control of swarm systems -- Formation control of swarm systems -- Containment control of swarm systems -- Formation-containment control of swarm systems -- Conclusions and future work. 
520 |a This book focuses on analysis and design problems for high-order linear time-invariant (LTI) swarm systems (multi-agent systems) to achieve consensus, formation, containment and formation-containment. As a first step, the concepts of practical consensus and formation-containment are introduced. Unlike previous research, the formation in this book can be time-varying. A general framework for consensus, consensus tracking, formation, containment and state formation-containment is presented for the first time. Sufficient/necessary and sufficient conditions, and approaches to designing the protocols for swarm systems to achieve these control objectives, are respectively proposed. Autonomous time-varying formation experiments using five quadrotor unmanned aerial vehicles (UAVs) are conducted in an outdoor setting to demonstrate the theoretical results. 
650 0 |a Control engineering. 
650 0 |a System theory. 
650 0 |a Control theory. 
650 0 |a Artificial intelligence. 
650 1 4 |a Control and Systems Theory. 
650 2 4 |a Systems Theory, Control . 
650 2 4 |a Complex Systems. 
650 2 4 |a Artificial Intelligence. 
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950 |a Engineering (R0) (SpringerNature-43712) 

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