Robust stability and stabilization for uncertain Takagi--Sugeno fuzzy time-delay systems
Fuzzy Sets and Systems
New delay-dependent stabilization conditions of T--S fuzzy systems with constant delay
Fuzzy Sets and Systems
Delay-dependent robust stability criteria for uncertain systems with interval time-varying delay
Journal of Computational and Applied Mathematics
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
Approaches to quadratic stability conditions and H∞ control designs for T-S fuzzy systems
IEEE Transactions on Fuzzy Systems
Delay-dependent guaranteed cost control for T-S fuzzy systems with time delays
IEEE Transactions on Fuzzy Systems
Delay-Dependent Robust Control for T–S Fuzzy Systems With Time Delay
IEEE Transactions on Fuzzy Systems
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
Network-based robust H∞ control of systems with uncertainty
Automatica (Journal of IFAC)
Robust H∞ control for nonlinear systems over network: A piecewise analysis method
Fuzzy Sets and Systems
Passivity analysis and passive control of fuzzy systems with time-varying delays
Fuzzy Sets and Systems
Expert Systems with Applications: An International Journal
International Journal of Automation and Computing
Event-triggering in networked systems with probabilistic sensor and actuator faults
Information Sciences: an International Journal
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This paper is concerned with the problem of robust H"~ control for uncertain T-S fuzzy systems with interval time-varying delay, that is, the delay is assumed to be a time-varying function belonging to an interval. By defining new Lyapunov functions and making use of novel techniques to achieve delay dependence, new conditions for the existence of robust H"~ controller are obtained based on the parallel distributed compensation (PDC) method. In this article, all the conditions are shown in terms of linear matrix inequalities (LMIs), which can be solved efficiently by using the LMI optimization techniques. Two numerical examples are given to illustrate the less conservatism of the proposed method.