The Design Methodology of Fuzzy Controller Based on Information Granulation (IG)-Based Optimization Approach

In this study, we present information granulation (IG)-based optimization approach to the design of fuzzy controller. The design procedure dwells on the use of evolutionary computing (genetic algorithms) and the estimation of the polynomial model that is carried out by effectively combining Hard C-Means Clustering (HCM) Method with Least Mean Square (LSM) method. The developed approach is applied to a nonlinear system such as an inverted pendulum where we show the results of comprehensive numerical studies and carry out a detailed comparative analysis