Opening book details…
Can I read Model Free Adaptive Control : Theory and Applications on EtoBox?
Model Free Adaptive Control : Theory and Applications by Zhongsheng Hou; Shangtai Jin is a book available to read on EtoBox.
What is Model Free Adaptive Control : Theory and Applications about?
Model Free Adaptive Control: Theory And Applications Summarizes Theory And Applications Of Model-free Adaptive Control (mfac). Mfac Is A Novel Adaptive Control Method For The Unknown Discrete-time Nonlinear Systems With Time-varying Parameters And Time-varying Structure, And The Design And Analysis Of Mfac Merely Depend On The Measured Input And Output Data Of The Controlled Plant, Which Makes It More Applicable For Many Practical Plants. This Book Covers New Concepts, Including Pseudo Partial Derivative, Pseudo Gradient, Pseudo Jacobian Matrix, And Generalized Lipschitz Conditions, Etc.; Dynamic Linearization Approaches For Nonlinear Systems, Such As Compact-form Dynamic Linearization, Partial-form Dynamic Linearization, And Full-form Dynamic Linearization; A Series Of Control System Design Methods, Including Mfac Prototype, Model-free Adaptive Predictive Control, Model-free Adaptive Iterative Learning Control, And The Corresponding Stability Analysis And Typical Applications In Practice. In Addition, Some Other Important Issues Related To Mfac Are Also Discussed. They Are The Mfac For Complex Connected Systems, The Modularized Controller Designs Between Mfac And Other Control Met
- Author
- Zhongsheng Hou; Shangtai Jin
- Publisher
- Taylor & Francis Group; CRC Press, Taylor & Francis Group
- Published
- 2013
- Language
- EN
- ISBN
- 9781466594197
- Subjects
- Technology, Engineering, Stem
- Updated
- 2026-03-24
More by Zhongsheng Hou; Shangtai Jin
Browse all works by Zhongsheng Hou; Shangtai Jin
Similar books
- Adaptive Control (communications And Control Engineering) — Professor I. D. Landau, Professor R. Lozano, Professor M. M’Saad (auth.) (1998)
- Discrete-Time Adaptive Iterative Learning Control: From Model-Based to Data-Driven (Intelligent Control and Learning Systems Book 1) — Ronghu Chi, Na Lin, Huimin Zhang, Ruikun (2022)
- Adaptive Internal Model Control — Aniruddha Datta PhD (auth.) (1998)
- Delay Compensation for Nonlinear, Adaptive, and PDE Systems (Systems & Control: Foundations & Applications) — Miroslav Krstic (auth.) (2009)
- System Identification and Adaptive Control: Theory and Applications of the Neurofuzzy and Fuzzy Cognitive Network Models (Advances in Industrial Control) — Yiannis Boutalis, Dimitrios Theodoridis, Theodore Kottas, Manolis A. Christodoulou (auth.) (2014)
- Adaptive Dual Control: Theory and Applications (Lecture Notes in Control and Information Sciences, 302) — Nikolai Michailovich Filatov, Heinz Unbehauen (2004)