Fuzzy Neural Networks for Real Time Control Applications

Preface

This book presents the basics of FNNs, in particular T2FNNs, for the identification and learning control of real-time systems. In addition to conventional parameter tuning methods, e.g., GD, SMC theory-based learning algorithms, which are simple and have closed forms, their stability analysis are also introduced. This book has been prepared in a way that can be easily understood by those who are both experienced and inexperienced in this field. Readers can benefit from the computer source codes for both identification and control purposes that are given at the end of the book.

There are number of books in the area of FLSs and FNNs. However, this book is more specific in several aspects. First of all, whereas so many books focus on ...