Neuro-fuzzy controllers

Fuzzy controllers belong to the class of knowledge based systems. Their main goal is to implement human know-how or heuristic rules in the form of a computer
program. Fuzzy logic provides a mathematical formalism for this goal. An original method for the design and analysis of a fuzzy controller is proposed in this book.
The main idea is to apply an on-line adaptive algorithm to automatically adjust the parameters of the fuzzy controller, depending on its inputs and desired outputs. Itis
shown that a fuzzy controller can learn to approximate non-linear functions arbitrarily well. The author also introduces a new method for the extraction of linguistic
rules from the adapted parameters. The knowledge acquired during learning can be represented in a clear and intuitive syntax. This gives the designer a
comprehensive understanding of the new rule base, i.e., the controller features. In the last part of the book, the application of fuzzy and neuro-fuzzy contro