Publisher's Synopsis
Illustrating how fuzzy logic and neural networks can be integrated into a model reference control context for real-time control of multivariable systems, this book provides a unified architecture which accommodates several popular learning/reasoning paradigms, including counter propagation networks, radial basis functions and CMAC within a fuzzy context. The book introduces new fuzzy-neural controller structures, and demonstrates the feasibility of the proposed approach by showing applications.;It is designed for graduate students of neural networks, intelligent control and fuzzy matters in departments of electrical engineering, computer science and maths.
