|
|
|
books
| book details |
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
|
| on special |
normal price: R 6 152.95
Price: R 5 844.95
|
| 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 |
Publisher | Springer Verlag, Singapore
Published date | 22 Jun 2017
Language |
Format | Hardback
Pages | 230
Dimensions | 235 x 155 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-9-8110-4079-5
Readership Age |
BISAC | technology / electricity
| other options |
|
|
|
To view the items in your trolley please sign in.
| sign in |
|
|
|
| specials |
|
An epic love story with the pulse of a thriller that asks: what would you risk for a second chance at first love?
|
|
Mason Coile
Paperback / softback
224 pages
was: R 520.95
now: R 468.95
|
A terrifying locked-room mystery set in a remote outpost on Mars.
|
|
|
|
|
|
