| Description |
xviii, 395 pages : illustrations ; 24 cm |
| Series |
CSI, control and signal/image processing series ; 3 |
|
CSI, control and signal/image processing series ; 3
|
| Contents |
1. Neural network fundamentals -- 2. Mathematical background -- 3. Neural network-based learning and control -- 4. Adaptive neural network control -- 5. Adaptive backstepping control design of nonlinear systems -- 6. Adaptive neural network control design for robot manipulators -- 7. Case studies |
| Summary |
"This book provides a systematic treatment of a general and streamlined design procedure for neural network (NN) control schemes. Stability proofs and transient performance guarantees are provided, which illustrate the superior efficiency of the NN controllers over other design techniques when the system is unknown." "While the book is written to serve as an advanced control reference on NN control for researchers, postgraduates and senior undergraduates, it should be equally useful to those industrial practitioners who are keen to explore the use of advanced neural network control in real problems. The prerequisite for gaining maximum benefit from this book is a basic knowledge of control systems, such as that imparted by a first undergraduate course on control systems engineering."--BOOK JACKET |
| Notes |
Formerly CIP. Uk |
| Bibliography |
Includes bibliographical references (pages [377]-391) and index |
| Subject |
Neural networks (Computer science)
|
|
Automatic control.
|
| Author |
Tan, Kok Kiong, 1967-
|
|
Tang, Kok Zuea, 1973-
|
| LC no. |
2004004367 |
| ISBN |
0863802850 |
|
