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Functional Adaptive Control
Simon G. Fabri, Visakan Kadirkamanathan
PocketEngelsk
Del av serien Communications and Control Engineering
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Self-Learning Optimal Control of Nonlinear Systems
Av Benkai Li, Xiaofeng Lin, Ruizhuo Song, Qinglai Wei, 2019.Del av serien Studies in Systems, Decision and Control.
Adaptive Dynamic Programming Approach
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.
PocketEngelsk
Normalpris: 1 629,-
1 466,-
Spar 163,-
Ikke tilgjengelig for Klikk&Hent
Midlertidig tomt på lager
Bestillingsvare. Forventes sendt om ca 20 dager
Oppdag mer
Self-Learning Optimal Control of Nonlinear Systems
Av Benkai Li, Xiaofeng Lin, Ruizhuo Song, Qinglai Wei, 2019.Del av serien Studies in Systems, Decision and Control.
Adaptive Dynamic Programming Approach
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.
Oppdag mer
Normalpris: 1 629,-
1 466,-
Spar 163,-
PocketEngelsk
Ikke tilgjengelig for Klikk&Hent
Midlertidig tomt på lager
Bestillingsvare. Forventes sendt om ca 20 dager
1 466,-
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