A Novel Inversion Method for a Fuzzy Model Based Controller

This paper presents an approximate analytical inversion method for controller design using the mathematical description of the fuzzy system. The analytical inversion makes it easier to implement. The results of the proposed inversion method are compared with other methods as applied to a benchmark problem. The simulation results show that the new inversion method is better than other compared inversion techniques. The robustness and disturbance rejection characteristics are also investigated.