CONTROL OF SOME NONLINEAR FUZZY SYSTEMS WITH FUZZY CONTROL INPUTS

CONTROL OF SOME NONLINEAR FUZZY SYSTEMS

Abstract

The study of control theory has become very popular with mathematicians, engineers and computer scientists because of its wide applications in communications and the design of artificially intelligent machines. More often than not, researchers focus on building models whose control parameters are crisp when the real life situations they are modelling are fuzzy. In the recent times, some have built models which have fuzziness into the control input. The limitation of this is that, while control may be fuzzy, uncertainty and the fuzziness in the system is not captured. This research focuses on modelling a system whose information matrix and the control input(s) are both fuzzy. The model developed was applied to a real life Chua electrical system and the numerical simulation confirms that the model is more efficient.