Fuzzy sliding adaptive control

Fuzzy model reference learning adaptive control has been introduced and it is found that, this design method can achieve a better performance, disturbance rejection and lack of dependence on a mathematical model in comparison with the conventional model reference adaptive control design. This design method suffers from the large number of fuzzy parameters required in order to achieve the desired specifications. To overcome of this drawback, the fuzzy sliding adaptive control is proposed here. Using this design approach, the high robust performance can be achieved. Where, in the same time a minimum number of fuzzy parameters are required in contrast to the fuzzy model reference learning control design method. This can be verified when the effect of uncertainties due to time delay is considered. To show the effectiveness of this design method, simulation results for stabilizing the pendulum angle position around the equilibrium vertical position is considered at the end of this paper.