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Intelligent control of nonlinear systems and nonlinear multi-agent systems with complex constraints = unveiling cutting-edge research and insights /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Intelligent control of nonlinear systems and nonlinear multi-agent systems with complex constraints/ by Hongru Ren ... [et al.].
Reminder of title:	unveiling cutting-edge research and insights /
other author:	Ren, Hongru.
Published:	Singapore :Springer Nature Singapore : : 2025.,
Description:	xiii, 200 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction -- Prescribed Performance Control with Actuator Failures -- Approximation-Based Nussbaum Gain Adaptive Control with Periodic Disturbances -- Adaptive Dynamic Event-Triggered Control Using Disturbance Observer -- Adaptive Fuzzy Control with Output Constraint.
Contained By:	Springer Nature eBook
Subject:	Nonlinear control theory. -
Online resource:	https://doi.org/10.1007/978-981-96-0320-6
ISBN:	9789819603206

Intelligent control of nonlinear systems and nonlinear multi-agent systems with complex constraints = unveiling cutting-edge research and insights /
Intelligent control of nonlinear systems and nonlinear multi-agent systems with complex constraintsunveiling cutting-edge research and insights /[electronic resource] :by Hongru Ren ... [et al.]. - Singapore :Springer Nature Singapore :2025. - xiii, 200 p. :ill., digital ;24 cm. - Intelligent control and learning systems,v. 162662-5466 ;. - Intelligent control and learning systems ;v. 16..

Introduction -- Prescribed Performance Control with Actuator Failures -- Approximation-Based Nussbaum Gain Adaptive Control with Periodic Disturbances -- Adaptive Dynamic Event-Triggered Control Using Disturbance Observer -- Adaptive Fuzzy Control with Output Constraint.

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.

ISBN: 9789819603206

Standard No.: 10.1007/978-981-96-0320-6doiSubjects--Topical Terms:

531861
Nonlinear control theory.

LC Class. No.: QA402.35

Dewey Class. No.: 629.836

Intelligent control of nonlinear systems and nonlinear multi-agent systems with complex constraints = unveiling cutting-edge research and insights /
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245 0 0 $a Intelligent control of nonlinear systems and nonlinear multi-agent systems with complex constraints $h [electronic resource] : $b unveiling cutting-edge research and insights / $c by Hongru Ren ... [et al.].
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490 1 $a Intelligent control and learning systems, $x 2662-5466 ; $v v. 16
505 0 $a Introduction -- Prescribed Performance Control with Actuator Failures -- Approximation-Based Nussbaum Gain Adaptive Control with Periodic Disturbances -- Adaptive Dynamic Event-Triggered Control Using Disturbance Observer -- Adaptive Fuzzy Control with Output Constraint.
520 $a 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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