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Control design of multiagent discrete-time systems

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Control design of multiagent discrete-time systemsby MagdiSadek Mahmoud, Bilal J. Karaki.
作者:	Mahmoud, MagdiSadek.
其他作者:	Karaki, Bilal J.
出版者:	Cham :Springer International Publishing :2022.
面頁冊數:	xiv, 446 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Control theory.
電子資源:	https://doi.org/10.1007/978-3-030-90940-6
ISBN:	9783030909406$q(electronic bk.)

Control design of multiagent discrete-time systems
Mahmoud, MagdiSadek.

Control design of multiagent discrete-time systems[electronic resource] /by MagdiSadek Mahmoud, Bilal J. Karaki. - Cham :Springer International Publishing :2022. - xiv, 446 p. :ill., digital ;24 cm. - Studies in systems, decision and control,v. 3872198-4190 ;. - Studies in systems, decision and control ;v.3..

Introduction -- Output-Synchronization Methodology -- Secure Scaled Consensus -- Robust Scaled Consensus -- Distributed Event-Triggered Consensus Protocols -- Distributed Secure Formation -- Quantized Scaled-Consensus Protocols -- Cooperative Event-Triggered Dissipative Approach -- Event Triggered Leader-Follower Consensus Protocols -- Mathematical Tools.

This book describes an effective approach to the cooperative and coordinated control of multivehicle systems. This rigorous analytic approach guarantees the stability of coordinated and cooperating vehicles using distributed protocols and uses low-energy, event-triggered mechanisms for networked vehicle control. The text covers: design of a cooperative protocol to achieve consensus for multivehicle systems, allowing cooperation that is resistant to the effects of packet loss and/or adversarial attack; analysis and synthesis of an event-triggering mechanism for cooperative multivehicle systems over uncertain networks; and the problem of distributed leader-following consensus and methods for compelling multivehicle systems to reach consensus. Throughout the book, cooperation problems are transformed into stability problems. Lyapunov theory is used to guarantee cooperation among agents. The distributed approach is applied to triggering mechanisms, the cooperation process, and the impact of cyber-attacks. Discrete-time analysis shows how the event-based structure can be designed to match the performance of continuous-time counterparts. The book details applications and computer simulation with several practical examples. This book is of interest to a wide audience from the graduate student, through the academic researcher to the industrial practitioner, all of them sharing a common interest in the stability and security of multiagent systems.

ISBN: 9783030909406$q(electronic bk.)

Standard No.: 10.1007/978-3-030-90940-6doiSubjects--Topical Terms:

182248
Control theory.

LC Class. No.: QA402.3 / .M34 2022

Dewey Class. No.: 629.8312

Control design of multiagent discrete-time systems
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505 0 $a Introduction -- Output-Synchronization Methodology -- Secure Scaled Consensus -- Robust Scaled Consensus -- Distributed Event-Triggered Consensus Protocols -- Distributed Secure Formation -- Quantized Scaled-Consensus Protocols -- Cooperative Event-Triggered Dissipative Approach -- Event Triggered Leader-Follower Consensus Protocols -- Mathematical Tools.
520 $a This book describes an effective approach to the cooperative and coordinated control of multivehicle systems. This rigorous analytic approach guarantees the stability of coordinated and cooperating vehicles using distributed protocols and uses low-energy, event-triggered mechanisms for networked vehicle control. The text covers: design of a cooperative protocol to achieve consensus for multivehicle systems, allowing cooperation that is resistant to the effects of packet loss and/or adversarial attack; analysis and synthesis of an event-triggering mechanism for cooperative multivehicle systems over uncertain networks; and the problem of distributed leader-following consensus and methods for compelling multivehicle systems to reach consensus. Throughout the book, cooperation problems are transformed into stability problems. Lyapunov theory is used to guarantee cooperation among agents. The distributed approach is applied to triggering mechanisms, the cooperation process, and the impact of cyber-attacks. Discrete-time analysis shows how the event-based structure can be designed to match the performance of continuous-time counterparts. The book details applications and computer simulation with several practical examples. This book is of interest to a wide audience from the graduate student, through the academic researcher to the industrial practitioner, all of them sharing a common interest in the stability and security of multiagent systems.
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