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Nonlinear industrial control systems...

Grimble, Michael J.

Nonlinear industrial control systemsoptimal polynomial systems and state-space approach /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Nonlinear industrial control systemsby Michael J. Grimble, Pawel Majecki.
Reminder of title:	optimal polynomial systems and state-space approach /
Author:	Grimble, Michael J.
other author:	Majecki, Pawel.
Published:	London :Springer London :2020.
Description:	xxx, 764 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Control theory.
Online resource:	https://doi.org/10.1007/978-1-4471-7457-8
ISBN:	9781447174578$q(electronic bk.)

Nonlinear industrial control systemsoptimal polynomial systems and state-space approach /
Grimble, Michael J.

Nonlinear industrial control systemsoptimal polynomial systems and state-space approach /[electronic resource] :by Michael J. Grimble, Pawel Majecki. - London :Springer London :2020. - xxx, 764 p. :ill., digital ;24 cm.

Part I: Background -- Introduction to Nonlinear Systems -- Nonlinear Systems Modelling and Identification -- Part II: Polynomial Systems -- Introduction to Nonlinear Generalized Minimum Variance Control -- Nonlinear Generalized Minimum Variance Control Design Issues -- Introduction to Factorised NGMV Nonlinear Controls -- H-infinity Robust Control for Nonlinear Systems -- Design Procedures in the Presence of Saturation and Other Nonlinearities -- Part III: State-space Systems -- Space Approach to NGMV Control -- Design Issues and NGMV Predictive Control -- Basic and Factorised NGMV Control of Continuous-time Systems -- Part IV: Nonlinear System Benchmarking Nonlinear Controls -- Dual Nonlinear Estimation Problems -- Neural Networks, Fuzzy Control and Learning -- Part V: Industrial Applications -- Nonlinear Industrial Process Control Applications -- Nonlinear Automotive, Aerospace and Marine Applications.

ISBN: 9781447174578$q(electronic bk.)

Standard No.: 10.1007/978-1-4471-7457-8doiSubjects--Topical Terms:

182248
Control theory.

LC Class. No.: QA402.3 / .G756 2020

Dewey Class. No.: 629.8312

Nonlinear industrial control systemsoptimal polynomial systems and state-space approach /
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100 1 $a Grimble, Michael J. $3 200128
245 1 0 $a Nonlinear industrial control systems $h [electronic resource] : $b optimal polynomial systems and state-space approach / $c by Michael J. Grimble, Pawel Majecki.
260 $a London : $b Springer London : $b Imprint: Springer, $c 2020.
300 $a xxx, 764 p. : $b ill., digital ; $c 24 cm.
505 0 $a Part I: Background -- Introduction to Nonlinear Systems -- Nonlinear Systems Modelling and Identification -- Part II: Polynomial Systems -- Introduction to Nonlinear Generalized Minimum Variance Control -- Nonlinear Generalized Minimum Variance Control Design Issues -- Introduction to Factorised NGMV Nonlinear Controls -- H-infinity Robust Control for Nonlinear Systems -- Design Procedures in the Presence of Saturation and Other Nonlinearities -- Part III: State-space Systems -- Space Approach to NGMV Control -- Design Issues and NGMV Predictive Control -- Basic and Factorised NGMV Control of Continuous-time Systems -- Part IV: Nonlinear System Benchmarking Nonlinear Controls -- Dual Nonlinear Estimation Problems -- Neural Networks, Fuzzy Control and Learning -- Part V: Industrial Applications -- Nonlinear Industrial Process Control Applications -- Nonlinear Automotive, Aerospace and Marine Applications.
650 0 $a Control theory. $3 182248
650 1 4 $a Control and Systems Theory. $3 825946
650 2 4 $a Industrial and Production Engineering. $3 273753
650 2 4 $a Automotive Engineering. $3 308930
650 2 4 $a Industrial Chemistry/Chemical Engineering. $3 273974
650 2 4 $a Calculus of Variations and Optimal Control; Optimization. $3 274198
700 1 $a Majecki, Pawel. $3 869217
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
856 4 0 $u https://doi.org/10.1007/978-1-4471-7457-8
950 $a Intelligent Technologies and Robotics (Springer-42732)