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Distributed cooperative control and communication for multi-agent systems

Record Type:	Electronic resources : Monograph/item
Title/Author:	Distributed cooperative control and communication for multi-agent systemsby Dong Yue, Huaipin Zhang, Shengxuan Weng.
Author:	Yue, Dong.
other author:	Zhang, Huaipin.
Published:	Singapore :Springer Singapore :2021.
Description:	xi, 196 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Multiagent systemsAutomatic control.
Online resource:	https://doi.org/10.1007/978-981-33-6718-0
ISBN:	9789813367180$q(electronic bk.)

Distributed cooperative control and communication for multi-agent systems
Yue, Dong.

Distributed cooperative control and communication for multi-agent systems[electronic resource] /by Dong Yue, Huaipin Zhang, Shengxuan Weng. - Singapore :Springer Singapore :2021. - xi, 196 p. :ill., digital ;24 cm.

Overview of multi-agent systems cooperation -- Distributed Adaptive Model-Based Event-Triggered Predictive Control for Consensus of MASs -- Event-Triggered Tracking Control For Heterogeneous MASs With Markov Communication Delays -- Time-varying Formation Tracking of Uncertain Non-affine Nonlinear MASs with Communication Delays -- Consensus of Nonlinear MASs with Relative State Saturations -- Distributed event-triggered cooperative attitude control of multiple groups of rigid bodies on manifold SO(3) -- Distributed robust finite-time attitude containment control for multiple rigid bodies with uncertainties -- Data-driven Distributed Optimal Consensus Control for Unknown MASs with Input-delay -- Data-driven optimal event-triggered consensus control for unknown nonlinear MASs with control constraints.

This book investigates distributed cooperative control and communication of MASs including linear systems, nonlinear systems and multiple rigid body systems. The model-based and data-driven control method are employed to design the (optimal) cooperative control protocol. The approaches of this book consist of model-based and data-driven control such as predictive control, event-triggered control, optimal control, adaptive dynamic programming, etc. From this book, readers can learn about distributed cooperative control methods, data-driven control, finite-time stability analysis, cooperative attitude control of multiple rigid bodies. Some fundamental knowledge prepared to read this book is finite-time stability theory, event-triggered sampling mechanism, adaptive dynamic programming and optimal control.

ISBN: 9789813367180$q(electronic bk.)

Standard No.: 10.1007/978-981-33-6718-0doiSubjects--Topical Terms:

894934
Multiagent systems
--Automatic control.

LC Class. No.: TJ215.5

Dewey Class. No.: 629.89

Distributed cooperative control and communication for multi-agent systems
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505 0 $a Overview of multi-agent systems cooperation -- Distributed Adaptive Model-Based Event-Triggered Predictive Control for Consensus of MASs -- Event-Triggered Tracking Control For Heterogeneous MASs With Markov Communication Delays -- Time-varying Formation Tracking of Uncertain Non-affine Nonlinear MASs with Communication Delays -- Consensus of Nonlinear MASs with Relative State Saturations -- Distributed event-triggered cooperative attitude control of multiple groups of rigid bodies on manifold SO(3) -- Distributed robust finite-time attitude containment control for multiple rigid bodies with uncertainties -- Data-driven Distributed Optimal Consensus Control for Unknown MASs with Input-delay -- Data-driven optimal event-triggered consensus control for unknown nonlinear MASs with control constraints.
520 $a This book investigates distributed cooperative control and communication of MASs including linear systems, nonlinear systems and multiple rigid body systems. The model-based and data-driven control method are employed to design the (optimal) cooperative control protocol. The approaches of this book consist of model-based and data-driven control such as predictive control, event-triggered control, optimal control, adaptive dynamic programming, etc. From this book, readers can learn about distributed cooperative control methods, data-driven control, finite-time stability analysis, cooperative attitude control of multiple rigid bodies. Some fundamental knowledge prepared to read this book is finite-time stability theory, event-triggered sampling mechanism, adaptive dynamic programming and optimal control.
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