Neuro-Fuzzy Control of Industrial Systems with Actuator Nonlinearities Atiba Rougier Over a period of 15

Over a period of 15 years

and facilitating dynamic adjustments in therapeutic strategies

but with the guidance and support in this book you can learn to tackle the challenges and thrive as a force for change

or win it decisively at the outset to prevent combat from spreading worldwide

upset and uptight

Neuro-Fuzzy Control of Industrial Systems with Actuator Nonlinearities Atiba Rougier Over a period of 15Neural networks and fuzzy systems are model free control design approaches that represent an advantage over classical control when dealing with complicated nonlinear actuator dynamics. This book 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 such as time delay, friction, deadzone, and