A robust approach in nonlinear fuzzy control of chemical process

This paper presents a novel and robust fuzzy controller. The controller has conventional fuzzy inputs membership functions but has Bang-bang subsequent outputs membership functions. The controller on-line adaptation is accomplished by tuning and self- organizing the input membership functions. New rules and membership functions are created on- line with sliding mode control knowledge base rules. The system s closed loop stability is assured for each rule,which is stable in sense of Lyapunov. The suggested controller performance and analysis is confirmed by simulation of well know non-linear benchmark problems. © Bangladesh Uni. of Engg. Tech.