Self-Learning Optimal Control of Nonlinear Systems
Adaptive Dynamic Programming Approach
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Beschreibung
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.
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.
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 dynamic programming methods, which guarantees the effectiveness of the methods developed Presents substantial application examples to support the theoretical results Includes supplementary material: sn.pub/extras
Autor*in
Qinglai Wei
Themen in »Self-Learning Optimal Control of Nonlinear Systems«
Intelligence Control Adaptive Dynamic Programming Self-Learning Control Nonlinear Systems Neural Network-Based Control
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“Book contains various real-world examples to illustrate the developed mathematical analysis. Thus, it is a valuable and important guide for engineers, researchers, and students in systems, decision and control science.” (Savin Treanta, zbMATH 1403.49002, 2019)
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