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Distributed impulsive coordination of multi-agent systems

Record Type:	Electronic resources : Monograph/item
Title/Author:	Distributed impulsive coordination of multi-agent systems/ by Zhengle Zhang, Tiedong Ma, Bing Cui.
Author:	Zhang, Zhengle.
other author:	Ma, Tiedong.
Published:	Singapore :Springer Nature Singapore : : 2024.,
Description:	xv, 185 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	1. Introduction -- 2. Distributed Variable Impulsive Consensus of Multi-Agent Systems -- 3. Distributed Asynchronous Impulsive Consensus of Multi-Agent Systems -- 4. Distributed Impulsive Consensus of Delayed Multi-Agent Systems -- 5. Distributed Discontinuous Adaptive Impulsive Consensus of Uncertain Multi-agent Systems.
Contained By:	Springer Nature eBook
Subject:	Multiagent systems - Control. -
Online resource:	https://doi.org/10.1007/978-981-97-6262-0
ISBN:	9789819762620

Distributed impulsive coordination of multi-agent systems
Zhang, Zhengle.

Distributed impulsive coordination of multi-agent systems[electronic resource] /by Zhengle Zhang, Tiedong Ma, Bing Cui. - Singapore :Springer Nature Singapore :2024. - xv, 185 p. :ill. (some col.), digital ;24 cm. - Intelligent control and learning systems,v. 152662-5466 ;. - Intelligent control and learning systems ;v. 15..

1. Introduction -- 2. Distributed Variable Impulsive Consensus of Multi-Agent Systems -- 3. Distributed Asynchronous Impulsive Consensus of Multi-Agent Systems -- 4. Distributed Impulsive Consensus of Delayed Multi-Agent Systems -- 5. Distributed Discontinuous Adaptive Impulsive Consensus of Uncertain Multi-agent Systems.

This book investigates the distributed impulsive coordination control of multi-agent systems (MASs), including consensus problem and formation problem. Compared with continuous control, impulsive control as a discontinuous control method only needs information interaction at impulsive instants, which can greatly reduce the transmission cost in the communication process. In practice, MASs are often affected by environmental and hardware conditions, resulting in the application of impulsive control is limited. For example, it is difficult to exert the impulsive control signal accurately at a fixed instant, and it is difficult to control all agents at the same impulsive instant. Moreover, the actual models of MASs often contain some constraints such as unknown parameters, stochastic perturbation, and time delays. In addition, stochastic switching topologies and cyberattacks will limit the communication between agents in MASs, which will greatly affect the coordination control performance. Based on the existing research results, this book considers the above constraints of MASs in practice and studies the key problems of distributed impulsive coordination control for MASs. The book is intended for undergraduate and graduate students who are interested in control system theory, as well as engineers studying MASs.

ISBN: 9789819762620

Standard No.: 10.1007/978-981-97-6262-0doiSubjects--Topical Terms:

3319578
Multiagent systems
--Control.

LC Class. No.: QA76.76.I58

Dewey Class. No.: 006.30285436

Distributed impulsive coordination of multi-agent systems
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505 0 $a 1. Introduction -- 2. Distributed Variable Impulsive Consensus of Multi-Agent Systems -- 3. Distributed Asynchronous Impulsive Consensus of Multi-Agent Systems -- 4. Distributed Impulsive Consensus of Delayed Multi-Agent Systems -- 5. Distributed Discontinuous Adaptive Impulsive Consensus of Uncertain Multi-agent Systems.
520 $a This book investigates the distributed impulsive coordination control of multi-agent systems (MASs), including consensus problem and formation problem. Compared with continuous control, impulsive control as a discontinuous control method only needs information interaction at impulsive instants, which can greatly reduce the transmission cost in the communication process. In practice, MASs are often affected by environmental and hardware conditions, resulting in the application of impulsive control is limited. For example, it is difficult to exert the impulsive control signal accurately at a fixed instant, and it is difficult to control all agents at the same impulsive instant. Moreover, the actual models of MASs often contain some constraints such as unknown parameters, stochastic perturbation, and time delays. In addition, stochastic switching topologies and cyberattacks will limit the communication between agents in MASs, which will greatly affect the coordination control performance. Based on the existing research results, this book considers the above constraints of MASs in practice and studies the key problems of distributed impulsive coordination control for MASs. The book is intended for undergraduate and graduate students who are interested in control system theory, as well as engineers studying MASs.
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