Interval type-2 fuzzy tracking control for nonlinear systems via sampled-data controller

This paper addresses an interval type-2 (IT2) fuzzy sampled-data tracking control problem of nonlinear systems subject to uncertain parameters. The controlled plant is modeled as Takagi-Sugeno (T-S) fuzzy structure, where the parameter uncertainties are captured effectively by the lower and upper membership functions. By means of the linear matrix inequalities (LMIs) and free-weighting matrices, an IT2 fuzzy sampled-data control scheme is developed such that the system states are driven to track those of the reference model. Finally, an inverted pendulum system and a mass-spring-damper mechanical system are used to show the efficiency of the suggested tracking control design. (C) 2018 Elsevier B.V. All rights reserved.