This book deals with continuous time dynamic neural networks theory applied to the solution of basic problems in robust control theory, including identification

This book constitutes the proceedings of the International Symposium on Neural N- works (ISNN 2004) held in Dalian, Liaoning, China duringAugust 19–21, 2004.

This concise book covers modern sliding mode control theory. The authors identify key contributions defining the theoretical and applicative state-of-the-art of

Reinforcement learning (RL) and adaptive dynamic programming (ADP) has been one of the most critical research fields in science and engineering for modern compl

"Recent Advances in Intelligent Control Systems" gathers contributions from workers around the world and presents them in four categories according to the style