Intelligent Control of Nonlinear Systems and Nonlinear Multi-Agent Systems with Complex Constraints: Unveiling Cutting-Edge Research and Insights (Intelligent Control and Learning Systems, 16)

Intelligent Control of Nonlinear Systems and Nonlinear Multi-Agent Systems with Complex Constraints:Unveiling Cutting-Edge Research and Insights (Intelligent Control and Learning Systems, 16)

Intelligent Control of Nonlinear Systems and Nonlinear Multi-Agent Systems with Complex Constraints:Unveiling Cutting-Edge Research and Insights (Intelligent Control and Learning Systems, 16)

by: Hongru Ren (Author), Hui Ma (Author),Qi Zhou (Author),Renquan Lu (Author)

Publisher: Springer

Publication Date: 2025-01-28

Language: English

Print Length: 213 pages

ISBN-10: 9819603196

ISBN-13: 9789819603190

Book Description

This book proposes an integrated design method for intelligent adaptive controllers to overcome the negative effects of various constraints on nonlinear systems and nonlinear multiagent systems in practical applications. The book rigorously provides problem analysis, controller design, and stability theory. In addition, numerous simulation examples are given to demonstrate the validity of the corresponding intelligent control methods, and the simulation results are illustrated in detail with graphs and tables. The methods proposed in this book eliminate some limitations of existing control methods in nonlinear systems and nonlinear multiagent systems with complex constraints and broaden the practical applications of intelligent control methods in industrial automation.

Editorial Reviews

This book proposes an integrated design method for intelligent adaptive controllers to overcome the negative effects of various constraints on nonlinear systems and nonlinear multiagent systems in practical applications. The book rigorously provides problem analysis, controller design, and stability theory. In addition, numerous simulation examples are given to demonstrate the validity of the corresponding intelligent control methods, and the simulation results are illustrated in detail with graphs and tables. The methods proposed in this book eliminate some limitations of existing control methods in nonlinear systems and nonlinear multiagent systems with complex constraints and broaden the practical applications of intelligent control methods in industrial automation.

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