Description: Self-learning Optimal Control of Nonlinear Systems : Adaptive Dynamic Programming Approach, Paperback by Wei, Qinglai; Song, Ruizhuo; Li, Benkai; Lin, Xiaofeng, ISBN 9811350434, ISBN-13 9789811350436, Like New Used, Free shipping in the US
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, th is a valuable guide for engineers, researchers, and students in control science and engineering.
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Book Title: Self-learning Optimal Control of Nonlinear Systems : Adaptive Dyn
Number of Pages: Xviii, 230 Pages
Language: English
Publication Name: Self-Learning Optimal Control of Nonlinear Systems : Adaptive Dynamic Programming Approach
Publisher: Springer
Subject: Engineering (General), Intelligence (Ai) & Semantics, Electrical, System Theory, Optimization
Publication Year: 2019
Item Weight: 16 Oz
Type: Textbook
Author: Benkai Li, Xiaofeng Lin, Qinglai Wei, Ruizhuo Song
Subject Area: Mathematics, Computers, Technology & Engineering, Science
Item Length: 9.3 in
Item Width: 6.1 in
Series: Studies in Systems, Decision and Control Ser.
Format: Trade Paperback
