Radial Basis Function (RBF) Neural Network Control for Mechanical Systems is motivated by the need for systematic design approaches to stable adaptive control system design using neural network approximation-based techniques.
Written from a practical engineering perspective, this book traces the core concepts of sliding mode control: classical sliding mode controllers; continous and discrete time sliding modes; fuzzy sliding mode control; neural sliding mode control and much more.