Quasi-invariant Stable Multivariable Cmac Variable Structure Neurocontrol

A quasi-invariant intelligent control method for partially unknown dynamical systems stabilization is proposed. The hability of a CMAC network in the reproduction of arbitrary functions is used to on line approximation of plant parameters related information in order to satisfy the existence conditions of a sliding mode regime in a set of discontinuity surfaces without the knowledge of plant model other than system order and structure.32200220

Advances in Reinforcement Learning

Reinforcement Learning (RL) is a very dynamic area in terms of theory and application. This book brings together many different aspects of the current research on several fields associated to RL which has been growing rapidly, producing a wide variety of learning algorithms for different applications. Based on 24 Chapters, it covers a very broad variety of topics in RL and their application in autonomous systems. A set of chapters in this book provide a general overview of RL while other chapters focus mostly on the applications of RL paradigms: Game Theory, Multi-Agent Theory, Robotic, Networking Technologies, Vehicular Navigation, Medicine and Industrial Logistic