Stability analysis and design of fuzzy control systems
Fuzzy Sets and Systems
An approach to H∞ control of fuzzy dynamic systems
Fuzzy Sets and Systems - Theme: Modeling and control
Parameterized linear matrix inequality techniques in fuzzy control system design
IEEE Transactions on Fuzzy Systems
On relaxed LMI-based designs for fuzzy regulators and fuzzy observers
IEEE Transactions on Fuzzy Systems
Delay-dependent guaranteed cost control for T-S fuzzy systems with time delays
IEEE Transactions on Fuzzy Systems
Fuzzy guaranteed cost control for nonlinear systems with time-varying delay
IEEE Transactions on Fuzzy Systems
Delay-Dependent Robust Control for T–S Fuzzy Systems With Time Delay
IEEE Transactions on Fuzzy Systems
Robust H∞ control for fuzzy systems with Frobenius norm-bounded uncertainties
IEEE Transactions on Fuzzy Systems
Robust H∞ Control for Uncertain Takagi–Sugeno Fuzzy Systems With Interval Time-Varying Delay
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Stabilization of Nonlinear Systems Under Variable Sampling: A Fuzzy Control Approach
IEEE Transactions on Fuzzy Systems
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Robust H"~ sampled-data control for uncertain fuzzy systems is discussed. In many practical situations, a system is modeled as a continuous-time fuzzy system, while the control input is the zero-order hold, which can be represented as a piecewise-continuous delay. Here we take a delay system approach to the H"~ sampled-data control problem. The closed-loop system with a sampled-data state feedback controller becomes a system with time-varying delay. First, H"~ performance conditions for the closed-loop system are given in terms of linear matrix inequalities (LMIs). Such conditions are derived by using the Leibniz-Newton formula and free-weighting matrix method for fuzzy time-delay systems under the assumption that sampling time is not greater than some prescribed number. Then, a design method for a robust H"~ sampled-data state feedback controller for uncertain fuzzy systems is proposed. Numerical examples are given to illustrate our robust H"~ sampled-data state feedback control design.