State Estimation for Discrete-Time Takagi-Sugeno Fuzzy Systems with Time-Varying Delays

الملخص EN

The state estimation problem is investigated for discrete-time Takagi-Sugeno fuzzy systems with time-varying delays.

By constructing appropriate Lyapunov-Krasovskii functionals and employing matrix inequality technique, a delay-dependent linear matrix inequalities (LMIs) criterion is developed to estimate the systems state with some observed output measurements such that the error-state system is globally asymptotically stable.

An example with simulations is given to show the effectiveness of the proposed criterion.