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Nonlinear industrial control systems...
~
Grimble, Michael J.
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Nonlinear industrial control systems = optimal polynomial systems and state-space approach /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Nonlinear industrial control systems/ by 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.
[NT 15003449]:
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.
Contained By:
Springer eBooks
Subject:
Control theory. -
Online resource:
https://doi.org/10.1007/978-1-4471-7457-8
ISBN:
9781447174578
Nonlinear industrial control systems = optimal polynomial systems and state-space approach /
Grimble, Michael J.
Nonlinear industrial control systems
optimal 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
Standard No.: 10.1007/978-1-4471-7457-8doiSubjects--Topical Terms:
535880
Control theory.
LC Class. No.: QA402.3 / .G756 2020
Dewey Class. No.: 629.8312
Nonlinear industrial control systems = optimal polynomial systems and state-space approach /
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optimal polynomial systems and state-space approach /
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by Michael J. Grimble, Pawel Majecki.
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2020.
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xxx, 764 p. :
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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.
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Industrial and Production Engineering.
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Intelligent Technologies and Robotics (Springer-42732)
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EB QA402.3 .G756 2020
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