Neural network control

Author: Xu Lina
Publisher:
Publish Date: 2003-02-01
Features: Neural network control has developed into a new branch of intelligent control, always opening new avenues for solving complex nonlinear, uncertain, and unknown systems. This book is divided into 5 chapters, elaborating on the theoretical foundation of (artificial) neural networks, templates, inverse models, and identification of dynamic systems based on neural networks, various structures of neural network control and their design, the optimization mechanism of genetic algorithms, and the application of genetic algorithms in system identification and neural control problems. This book is suitable as a textbook or teaching reference for senior undergraduate and graduate students in information processing, automatic control, industrial automation, pattern recognition, and intelligent control at universities of engineering. It is also suitable for engineers and technicians in related fields. This book is divided into five chapters, covering the theoretical foundation of (artificial) neural networks, models, inverse models, and identification of dynamic systems based on neural networks, as well as the various structures and design of neural network control.