Data-driven model-free controllers /

This book categorizes the wide area of data-driven model-free controllers, reveals the exact benefits of such controllers, gives the in-depth theory and mathematical proofs behind them, and finally discusses their applications. Each chapter includes a section for presenting the theory and mathematic...

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Bibliographic Details
Main Authors: Precup, Radu-Emil, 1963- (Author), Roman, Raul-Cristian (Author), Safaei, Ali (Author)
Corporate Author: Taylor & Francis
Format: eBook
Language:English
Published: [Place of publication not identified] : CRC Press, 2021.
Edition:First edition.
Subjects:
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • 1. Introduction. 2. Iterative Feedback Tuning. 3. Intelligent PID Controllers. 4. Model-Free Sliding Mode Controllers. 5. Model-Free Adaptive Controllers. 6. Hybrid Model-Free and Model-Free Adaptive Virtual Reference Feedback Tuning controllers. 7. Hybrid model-free and model-free adaptive fuzzy controllers. 8. Cooperative Model-Free Adaptive Controllers for Multi-Agent Systems. Appendix 1. Simulation resutls for implementation of Model-Free Adaptive Controller on a differential-drive ground mobile robot.