ADAPTIVE FUZZY CONTROL FOR A CLASS OF UNCERTAIN NONLINEAR SYSTEMS VIA LMI APPROACH

This paper deals with control design and stability analysis for a class of nonlinear systems with system uncertainties as well as input constraint when using the T-S fuzzy model. As a result, it achieves an adaptive fuzzy controller, which consists of two components: one is corresponding with the regular state feedback controller based on the LMI approach in order to deal with the known part in the T-S fuzzy model; and another one is obtained based on adaptive law in order to deal with the unknown part in the T-S fuzzy model. In the end, the problem of relaxing LMI conservatism is considered.