Rigorous stability proofs are further verified by computer simulations, and appendices contain the computer code needed to build intelligent controllers for rea

Brings neural networks and fuzzy logic together with dynamical control systems. Each chapter presents powerful control approaches for the design of intelligent

Fuzzy control methods are critical for meeting the demands of complex nonlinear systems. They bestow robust, adaptive, and self-correcting character to complex

This book provides a basic understanding of adaptive control and its applications in Flight control. It discusses the designing of an adaptive feedback control

The book deals with intelligent control of mobile robots, presenting the state-of-the-art in the field, and introducing new control algorithms developed and tes