Stability of Time-Delay Systems
Stability of Time-Delay Systems
Stabilizability of linear quadratic state feedback for uncertain fuzzy time-delay systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Analysis and synthesis of nonlinear time-delay systems via fuzzy control approach
IEEE Transactions on Fuzzy Systems
Output feedback robust H∞ control of uncertain fuzzy dynamic systems with time-varying delay
IEEE Transactions on Fuzzy Systems
Delay-dependent guaranteed cost control for T-S fuzzy systems with time delays
IEEE Transactions on Fuzzy Systems
Technical Communique: Robust stabilization of uncertain input-delayed systems using reduction method
Automatica (Journal of IFAC)
Delayed feedback control of uncertain systems with time-varying input delay
Automatica (Journal of IFAC)
Guaranteed cost control of T--S fuzzy systems with state and input delays
Fuzzy Sets and Systems
New delay-dependent stabilization conditions of T--S fuzzy systems with constant delay
Fuzzy Sets and Systems
Delay-dependent stabilization for stochastic fuzzy systems with time delays
Fuzzy Sets and Systems
Information Sciences: an International Journal
Robust H∞ control of Takagi--Sugeno fuzzy systems with state and input time delays
Fuzzy Sets and Systems
Information Sciences: an International Journal
New approaches on H∞ control of T--S fuzzy systems with interval time-varying delay
Fuzzy Sets and Systems
Delay-dependent robust H∞ control for T--S fuzzy system with interval time-varying delay
Fuzzy Sets and Systems
Journal of Computational and Applied Mathematics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Stability and stabilization of delayed T-S fuzzy systems: a delay partitioning approach
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Robust output regulation of T-S fuzzy systems with multiple time-varying state and input delays
IEEE Transactions on Fuzzy Systems
Robust H∞ control of uncertain fuzzy systems under time-varying sampling
Fuzzy Sets and Systems
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
On exponential stability results for fuzzy impulsive neural networks
Fuzzy Sets and Systems
New delay-dependent stability criteria for T--S fuzzy systems with time-varying delay
Fuzzy Sets and Systems
Robust guaranteed cost control of uncertain fuzzy systems under time-varying sampling
Applied Soft Computing
Robust H∞ control for nonlinear systems over network: A piecewise analysis method
Fuzzy Sets and Systems
Artificial Intelligence Review
IEEE Transactions on Fuzzy Systems
Survey paper: A survey on industrial applications of fuzzy control
Computers in Industry
Robust anti-windup controller design of time-delay fuzzy systems with actuator saturations
Information Sciences: an International Journal
Information Sciences: an International Journal
Robust sampled-data stabilization of uncertain fuzzy systems via input delay approach
Information Sciences: an International Journal
International Journal of Software Science and Computational Intelligence
Exponential stability of uncertain T-S fuzzy switched systems with time delay
International Journal of Automation and Computing
International Journal of Automation and Computing
A novel dropout compensation scheme for control of networked T-S fuzzy dynamic systems
Fuzzy Sets and Systems
Delay range dependent fuzzy control design for nonlinear neutral systems with time varying delays
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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This paper considers the delay-dependent stability analysis and controller design for uncertain T-S fuzzy system with time-varying delay. A new method is provided by introducing some free-weighting matrices and employing the lower bound of time-varying delay. Based on the Lyapunov-Krasovskii functional method, sufficient condition for the asymptotical stability of the system is obtained. By constructing the Lyapunov-Krasovskii functional appropriately, we can avoid the supplementary requirement that the time-derivative of time-varying delay must be smaller than one. The fuzzy state feedback gain is derived through the numerical solution of a set of linear matrix inequalities (LMIs). The upper bound of time-delay can be obtained by using convex optimization such that the system can be stabilized for all time-delays. The efficiency of our method is demonstrated by two numerical examples.