Abstract: Intelligent control, which includes fuzzy, neural, neuro-fuzy and evolutionary control, is result of applying computational intelligence to the control complex systems. This class of unconventional control system differs radically from conventional (or hard control) system that are based on classical and modern control theory. The techniques of intelligent control are being applied increasingly to industrial control problems and are leading to solutions where conventional control methods have proved unsuccessful. This paper reviews computational intelligence (branch of soft computing) which includes expert system, fuzzy logic, artificial neural networks and evolutionary computing with emphasis on its application to control engineering.