Soft computing for control of non-linear dynamical

This book describes the application of soft computing techniques to modelling, simulation and control of non-linear dynamical systems. Hybrid intelligence systems, which integrate different techniques and mathematical models, are also presented. The book covers the basics of fuzzy logic, neural networks, evolutionary computation, chaos and fractal theory and also describes in detail different hybrid architectures for developing intelligent control systems for applications in robotics, reactors, manufacturing, aircraf systems and economics.