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Analysis and synthesis of nonlinear ...

Bernal, Miguel.

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Analysis and synthesis of nonlinear control systems = a convex optimisation approach /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Analysis and synthesis of nonlinear control systems/ by Miguel Bernal ... [et al.].
Reminder of title:	a convex optimisation approach /
other author:	Bernal, Miguel.
Published:	Cham :Springer International Publishing : : 2022.,
Description:	x, 345 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Introduction -- Problems to be Solved and Scope of the Book -- Modeling via Convex Structures -- Stability Analysis -- State Feedback -- Performance, Robustness, Observation, and Output Feedback -- Conclusions and Perspectives.
Contained By:	Springer Nature eBook
Subject:	Nonlinear control theory. -
Online resource:	https://doi.org/10.1007/978-3-030-90773-0
ISBN:	9783030907730

Analysis and synthesis of nonlinear control systems = a convex optimisation approach /
Analysis and synthesis of nonlinear control systemsa convex optimisation approach /[electronic resource] :by Miguel Bernal ... [et al.]. - Cham :Springer International Publishing :2022. - x, 345 p. :ill. (some col.), digital ;24 cm. - Studies in systems, decision and control,v. 4082198-4190 ;. - Studies in systems, decision and control ;v. 408..

Introduction -- Problems to be Solved and Scope of the Book -- Modeling via Convex Structures -- Stability Analysis -- State Feedback -- Performance, Robustness, Observation, and Output Feedback -- Conclusions and Perspectives.

This book presents a modern perspective on the modelling, analysis, and synthesis ideas behind convex-optimisation-based control of nonlinear systems: it embeds them in models with convex structures. Analysis and Synthesis of Nonlinear Control Systems begins with an introduction to the topic and a discussion of the problems to be solved. It then explores modelling via convex structures, including quasi-linear parameter-varying, Takagi-Sugeno models, and linear fractional transformation structures. The authors cover stability analysis, addressing Lyapunov functions and the stability of polynomial models, as well as the performance and robustness of the models. With detailed examples, simulations, and programming code, this book will be useful to instructors, researchers, and graduate students interested in nonlinear control systems.

ISBN: 9783030907730

Standard No.: 10.1007/978-3-030-90773-0doiSubjects--Topical Terms:

531861
Nonlinear control theory.

LC Class. No.: QA402.35

Dewey Class. No.: 629.8312

Analysis and synthesis of nonlinear control systems = a convex optimisation approach /
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245 0 0 $a Analysis and synthesis of nonlinear control systems $h [electronic resource] : $b a convex optimisation approach / $c by Miguel Bernal ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a x, 345 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Studies in systems, decision and control, $x 2198-4190 ; $v v. 408
505 0 $a Introduction -- Problems to be Solved and Scope of the Book -- Modeling via Convex Structures -- Stability Analysis -- State Feedback -- Performance, Robustness, Observation, and Output Feedback -- Conclusions and Perspectives.
520 $a This book presents a modern perspective on the modelling, analysis, and synthesis ideas behind convex-optimisation-based control of nonlinear systems: it embeds them in models with convex structures. Analysis and Synthesis of Nonlinear Control Systems begins with an introduction to the topic and a discussion of the problems to be solved. It then explores modelling via convex structures, including quasi-linear parameter-varying, Takagi-Sugeno models, and linear fractional transformation structures. The authors cover stability analysis, addressing Lyapunov functions and the stability of polynomial models, as well as the performance and robustness of the models. With detailed examples, simulations, and programming code, this book will be useful to instructors, researchers, and graduate students interested in nonlinear control systems.
650 0 $a Nonlinear control theory. $3 531861
650 0 $a Nonlinear systems $x Mathematical models. $3 1066653
650 0 $a Convex functions. $3 544201
650 1 4 $a Control and Systems Theory. $3 3381515
650 2 4 $a Optimization. $3 891104
650 2 4 $a Systems Theory, Control. $3 893834
650 2 4 $a System Robustness. $3 3593159
700 1 $a Bernal, Miguel. $3 3593158
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Studies in systems, decision and control ; $v v. 408. $3 3538200
856 4 0 $u https://doi.org/10.1007/978-3-030-90773-0
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)