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Academic Press Second-Order Consensus of Continuous-Time Multi-Agent Systems

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Description

Second-Order Consensus of Continuous-Time Multi-Agent Systems focuses on the characteristics and features of second-order agents, communication networks, and control protocols/algorithms in continuous consensus of multi-agent systems. The book provides readers with background on consensus control of multi-agent systems and introduces the intrinsic characteristics of second-order agents’ behavior, including the development of continuous control protocols/algorithms over various types of underlying communication networks, as well as the implementation of computation- and communication-efficient strategies in the execution of protocols/algorithms. The book's authors also provide coverage of the frameworks of stability analysis, algebraic criteria and performance evaluation. On this basis, the book provides an in-depth study of intrinsic nonlinear dynamics from agents’ perspective, coverage of unbalanced directed topology, random switching topology, event-triggered communication, and random link failure, from a communication networks’ perspective, as well as leader-following control, finite-time control, and global consensus control, from a protocols/algorithms’ perspective. Finally, simulation results including practical application examples are presented to illustrate the effectiveness and the practicability of the control protocols and algorithms proposed in this book. Review Examines the application of control protocols and algorithms for second-order consensus of Continuous Multi-Agent Systems From the Back Cover Second-Order Consensus of Continuous-Time Multi-Agent Systems focuses on the characteristics and features of second-order agents, communication networks, and control protocols/algorithms in continuous consensus of multi-agent systems. The book provides readers with background on consensus control of multi-agent systems, and introduces the intrinsic characteristics of second-order agents behavior, including the development of continuous control protocols/algorithms over various types of underlying communication networks, as well as the implementation of computation- and communication-efficient strategies in the execution of protocols/algorithms. The authors also provide coverage of the frameworks of stability analysis, algebraic criteria, and performance evaluation. On this basis, the book provides an in-depth study of intrinsic nonlinear dynamics from agents perspective, coverage of unbalanced directed topology, random switching topology, event-triggered communication, and random link failure, from a communication networks perspective, as well as leader-following control, finite-time control, and global consensus control, from a protocols/algorithms perspective. Finally, simulation results including practical application examples are presented to illustrate the effectiveness and the practicability of the control protocols and algorithms proposed in this book. Second-Order Consensus of Continuous Multi-Agent Systems provides professional guidance and reference for those who want to know and study the advanced achievements, basic knowledge, processes involved in designing and analyzing continuous consensus control protocols and algorithms for second-order systems under various contexts. Second-order consensus is one of the most fundamental topics in the coordination of multi-agent systems has and received considerable attention in recent years. Although it has become a hot topic in the scientific field and significant progress has been made, second-order continuous consensus of multi-agent systems that meets the actual applications faces many issues. Inherent nonlinearities of agents, complexity of physical systems, and uncertainty of communication are the difficulties that protocols or algorithms of consensus control for second-order multi-agent systems need to conquer. This is the first book to discuss and address these issues under a unified framework.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
26 February 2021
Listed Since
11 November 2020

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