Robust Sampled-data Fuzzy Control for Nonlinear Systems and Its Applications: Free-Weight Matrix Method

In this paper, sampled-data control is proposed to stabilize the nonlinear system, which is expressed as a Takagi-Sugeno (T-S) fuzzy submodels. Based on suitable Lyapunov- Krasovskii functional (LKF) along with new weighted integral inequalities, the sufficient conditions are derived in terms of linear matrix inequalities, which ensure the exponential stability of the proposed closed loop T-S fuzzy system. The peculiarity of this paper is: as...