Fuzzy State Estimation of Discrete Event Systems

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.

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

Lei

Song

Liu

2015

Mathematical Problems in Engineering

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Fuzzy State Estimation of Discrete Event Systems

Cited by 1 publication

References 10 publications

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

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

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