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Nonlinear industrial control systems...
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Grimble, Michael J.
Nonlinear industrial control systemsoptimal polynomial systems and state-space approach /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Nonlinear industrial control systemsby Michael J. Grimble, Pawel Majecki.
其他題名:
optimal polynomial systems and state-space approach /
作者:
Grimble, Michael J.
其他作者:
Majecki, Pawel.
出版者:
London :Springer London :2020.
面頁冊數:
xxx, 764 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
標題:
Control theory.
電子資源:
https://doi.org/10.1007/978-1-4471-7457-8
ISBN:
9781447174578$q(electronic bk.)
Nonlinear industrial control systemsoptimal polynomial systems and state-space approach /
Grimble, Michael J.
Nonlinear industrial control systems
optimal polynomial systems and state-space approach /[electronic resource] :by Michael J. Grimble, Pawel Majecki. - London :Springer London :2020. - xxx, 764 p. :ill., digital ;24 cm.
Part I: Background -- Introduction to Nonlinear Systems -- Nonlinear Systems Modelling and Identification -- Part II: Polynomial Systems -- Introduction to Nonlinear Generalized Minimum Variance Control -- Nonlinear Generalized Minimum Variance Control Design Issues -- Introduction to Factorised NGMV Nonlinear Controls -- H-infinity Robust Control for Nonlinear Systems -- Design Procedures in the Presence of Saturation and Other Nonlinearities -- Part III: State-space Systems -- Space Approach to NGMV Control -- Design Issues and NGMV Predictive Control -- Basic and Factorised NGMV Control of Continuous-time Systems -- Part IV: Nonlinear System Benchmarking Nonlinear Controls -- Dual Nonlinear Estimation Problems -- Neural Networks, Fuzzy Control and Learning -- Part V: Industrial Applications -- Nonlinear Industrial Process Control Applications -- Nonlinear Automotive, Aerospace and Marine Applications.
ISBN: 9781447174578$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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