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Self-Learning Optimal Control of Nonlinear Systems: Adaptive Dynamic Programming Approach

By (author) Qinglai Wei, By (author) Ruizhuo Song, By (author) Benkai Li, By (author) Xiaofeng Lin

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normal price: R 4 553.95

Price: R 4 325.95


| book description |

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.

| product details |



Normally shipped | This title will take longer to obtain, and should be delivered in 6-8 weeks
Publisher | Springer Verlag, Singapore
Published date | 12 Jan 2019
Language |
Format | Paperback / softback
Pages | 230
Dimensions | 235 x 155 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-9-8113-5043-6
Readership Age |
BISAC | technology / electricity


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Normally shipped | Available from overseas. Usually dispatched in 14 days
Readership Age |
Normal Price | R 6 152.95
Price | R 5 844.95 | on special |



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