Self-Learning Optimal Control of Nonlinear Systems: Adaptive Dynamic Programming Approach (1st ed. 2018) (Studies in Systems, Decision and Control #103)
By: and and and
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- Synopsis
- This book presents a class of novel, self-learning, optimal control schemes based on adaptive dynamic programming techniques, which quantitatively obtain the optimal control schemes of the systems. It analyzes the properties identified by the programming methods, including the convergence of the iterative value functions and the stability of the system under iterative control laws, helping to guarantee the effectiveness of the methods developed. When the system model is known, self-learning optimal control is designed on the basis of the system model; when the system model is not known, adaptive dynamic programming is implemented according to the system data, effectively making the performance of the system converge to the optimum.With various real-world examples to complement and substantiate the mathematical analysis, the book is a valuable guide for engineers, researchers, and students in control science and engineering.
- Copyright:
- 2018
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9789811040801
- Related ISBNs:
- 9789811040795
- Publisher:
- Springer Singapore, Singapore
- Date of Addition:
- 11/05/18
- Copyrighted By:
- Science Press, Beijing and Springer Nature Singapore Pte Ltd.
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet, Technology
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
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