内容简介: 《非线性系统自学习很优控制:自适应动态规划方法(英文版)》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 com ... 目录: 1 Principle of Adaptive Dynamic Programming 1 1.1 Dynamic Programming 1 1.1.1 Discrete-Time Systems 1 1.1.2 Continuous-Time Systems 2 1.2 Original Forms of Adaptive Dynamic Programming 3 1.2.1 Principle of Adaptive Dynamic Programming 4 1.3 Iterative Forms of Adaptive Dynamic Programming 9 1.3.1 Value Iteration 9 1.3.2 Policy Iteration 10 1.4 About This Book 11 References 14 2 An Iterative *-Optimal Control Scheme for a Class of Discrete-Time Nonlinear Systems with Unfixed Initial State 19 2.1 Introduction 19 2.2 Problem Statement 20 2.3 Properties of the Iterative Adaptive Dynamic Programming Algorithm 21 2.3.1 Derivation of the Iterative ADP Algorithm 21 2.3.2 Properties of the Iterative ADP A ...
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