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Distributed Cooperative Control and Optimization for Multi-Agent Systems / by Qing Wang, Bin Xin, Jie Chen.

Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2025 Available online

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Format:
Book
Author/Creator:
Wang, Qing.
Contributor:
Xin, Bin.
Chen, Jie.
Series:
Intelligent Technologies and Robotics Series
Language:
English
Subjects (All):
Automation.
Automatic control.
Control and Systems Theory.
Local Subjects:
Automation.
Control and Systems Theory.
Physical Description:
1 online resource (222 pages)
Edition:
1st ed. 2025.
Place of Publication:
Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Summary:
This book provides a concise and in-depth exposition of distributed control and optimization problems of multi-agent systems. The book integrates various ideas and tools from dynamic systems, control theory, graph theory, and optimization to address the special challenges posed by such complexities in the environment as communication delay, topological dynamics, and environmental uncertainties. In order to deal with the mismatched uncertainties and time delay, observer-based controller and sliding mode control are developed to achieve consensus control. When there is a leader or multiple leaders in the communication topologies, containment control is required. The book studies both state and output containment for nonlinear multi-agent systems with undirected or directed networks. Furthermore, event-triggered schemes are proposed to reduce communication and computation costs. Distributed optimization for multi-agent systems is an interesting topic that has attracted more and more attention due to its wide range of applications such as smart grids, sensor networks, and mobile manipulators. In distributed optimization, the goal is to optimize the global cost function, which is the sum of all local cost functions, each of which is known only by its own local agent. Distributed nonsmooth convex optimization for multi-agent systems based on proximal operators is developed to achieve distributed optimal consensus.
Contents:
Introduction
Disturbance observer-based sliding mode control for multi-agent systems with mismatched uncertainties
Observer-based containment for a class of nonlinear multi-agent systems with time-delayed protocols
Robust output containment control of multi-agent systems with unknown heterogeneous nonlinear uncertainties in directed networks
Distributed event-based consensus control of multi-agent system with matching nonlinear uncertainties.
Notes:
Description based on publisher supplied metadata and other sources.
Other Format:
Print version: Wang, Qing Distributed Cooperative Control and Optimization for Multi-Agent Systems
ISBN:
9789819609505
OCLC:
1503953841

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