Robust Fuzzy Model Predictive Control with time delays for Nonlinear Systems

In this work, a robust fuzzy model predictive control (RFMPC) is designed for uncertain time-delay systems under input constraints with external disturbances. The proposed controller based on an augmented state space that includes the variables and output tracking error variable of system. As result, can guarantee convergence performance To ensure stability closed loop constrained time-delays system, in form linear matrix inequalities (LMIs), Lyapunov–Krasovskii (L-K) theory employed to derive sufficient conditions where L-K has ability reflect system’s original its advantages synthesis computation. less conservative stable terms LMIs are given used asymptotically closed-loop construction procedure shifted into minimization problem subjected certain LMI. robustness properties RFMPC approach compared results standard MPC applied nonlinear system parameter uncertainties time-delays.