A self-tuning fuzzy logic design for perturbed time-delay systems with nonlinear input

In this study, a method of self-tuning single-input fuzzy logic controller (ST-SIFLC) is proposed to efficiently eliminate the chattering problem of perturbed time-delay systems with nonlinear input. This work has the tuning scheme derived from only two rules of fuzzy inference that result in an ultimate equation from defuzzification. This tuning algorithm is convenient and easy to utilize. The control method provides a simple way to achieve asymptotic stability of the perturbed time-delay system. Other attractive features of the method include the fuzzy rules been greatly reduced in spite of the number of state variables, as well as the insensitivity to the perturbation, and the behavior of control input is dramatically improved better than previous report. Simulation results are presented to demonstrate the power of the method.