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Distributed Impulsive Coordination of Multi-Agent Systems [electronic resource] / by Zhengle Zhang, Tiedong Ma, Bing Cui.

By: Contributor(s): Material type: TextSeries: Intelligent Control and Learning Systems ; 15Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2024Edition: 1st ed. 2024Description: XV, 185 p. 103 illus., 102 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9789819762620
Subject(s):
Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleLOC classification:
  • TJ212-225
Online resources:
Contents:
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.
In: Springer Nature eBookSummary: 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.
Item type: List(s) this item appears in: Titluri cărți electronice Springer Nature 2025 (10631 titluri)
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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.

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