Neuro-Fuzzy Control of Industrial Systems with Actuator Nonlinearities

Javier Campos, Frank L. Lewis, Rastko Selmic — 2002

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