| 书目名称 | Self-Learning Optimal Control of Nonlinear Systems | | 副标题 | Adaptive Dynamic Pro | | 编辑 | Qinglai Wei,Ruizhuo Song,Xiaofeng Lin | | 视频video | | | 概述 | Provides a series of novel adaptive dynamic programming methodologies to obtain the optimal control policies for various nonlinear systems.Includes a detailed theoretical analysis of the adaptive dyna | | 丛书名称 | Studies in Systems, Decision and Control | | 图书封面 |  | | 描述 | .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.. | | 出版日期 | Book 2018 | | 关键词 | Intelligence Control; Adaptive Dynamic Programming; Self-Learning Control; Nonlinear Systems; Neural Net | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-10-4080-1 | | isbn_softcover | 978-981-13-5043-6 | | isbn_ebook | 978-981-10-4080-1Series ISSN 2198-4182 Series E-ISSN 2198-4190 | | issn_series | 2198-4182 | | copyright | Science Press, Beijing and Springer Nature Singapore Pte Ltd. 2018 |
The information of publication is updating
|
|
发表于 2025-3-21 18:56:23
