Control Design for Interval Type-2 Fuzzy Systems Under Imperfect Premise Matching

Abstract—This paper focuses on designing interval type-2 (IT2)\ud control for nonlinear systems subject to parameter uncertainties.\ud To facilitate the stability analysis and control synthesis, an IT2 TS\ud fuzzy model is employed to represent the dynamics of nonlinear\ud systems of which the parameter uncertainties are captured by\ud IT2 membership functions characterized by the lower and upper\ud membership functions. A novel IT2 fuzzy controller is proposed\ud to perform the control process, where the membership functions\ud and number of rules can be freely chosen and different from\ud those of the IT2 T-S fuzzy model. Consequently, the IT2 fuzzymodel-\ud based (FMB) control system is with imperfectly matched\ud membership functions, which hinders the stability analysis. To\ud relax the stability analysis for this class of IT2 FMB control\ud systems, the information of footprint of uncertainties, and the\ud lower and upper membership functions are taken into account\ud for the stability analysis. Based on the Lyapunov stability theory,\ud some stability conditions in terms of linear matrix inequalities\ud are obtained to determine the system stability and achieve the\ud control design. Finally, simulation and experimental examples\ud are provided to demonstrate the effectiveness and the merit of\ud the proposed approach