A fuzzy-control adaptive algorithm with variable domain
一种变论域模糊控制自适应算法

To deal with the nonlinearity, time-varying property, complexity and uncertainty in the controlled systems, a variable domain for membership functions is introduced by adopting an adaptive algorithm for changing the domain based on fuzzy control. The adaptive law is designed for input functions, and the stability is then analyzed through Lyapunov function. Simulation results also show that the system output can follow the input variation even in the case of external interferences. This algorithm has simple structure, high robustness and desired dynamic performance; ensuring the stability of the system with low tracking error and eliminating the negative effect on stability caused by system parameter variations. Finally, simulation examples illustrate the validity and feasibility of the results.