H∞ filtering of discrete-time fuzzy systems via basis-dependent Lyapunov function approach
Fuzzy Sets and Systems
New delay-dependent non-fragile H∞ observer-based control for continuous time-delay systems
Information Sciences: an International Journal
Brief paper: Non-fragile H∞ filter design for linear continuous-time systems
Automatica (Journal of IFAC)
New results on H∞ filtering for fuzzy time-delay systems
IEEE Transactions on Fuzzy Systems
Robust H∞ control for discrete-time fuzzy systems with infinite-distributed delays
IEEE Transactions on Fuzzy Systems
Fuzzy Weighting-Dependent Approach to H∞ Filter Design for Time-Delay Fuzzy Systems
IEEE Transactions on Signal Processing
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Piecewise quadratic stability of fuzzy systems
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Fuzzy H∞ Filter Design for a Class of Nonlinear Discrete-Time Systems With Multiple Time Delays
IEEE Transactions on Fuzzy Systems
Approaches to Robust Filtering Design of Discrete Time Fuzzy Dynamic Systems
IEEE Transactions on Fuzzy Systems
Filter Design for Nonlinear Systems With Time-Delay Through T–S Fuzzy Model Approach
IEEE Transactions on Fuzzy Systems
A discretization method for nonlinear delayed non-affine systems
International Journal of Automation and Computing
Exponential stability of uncertain T-S fuzzy switched systems with time delay
International Journal of Automation and Computing
International Journal of Automation and Computing
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This paper is concerned with the non-fragile H∞ filter design problem for uncertain discrete-time Takagi-Sugeno (T-S) fuzzy systems with time delay. To begin with, the T-S fuzzy system is transformed to an equivalent switching fuzzy system. Then, based on the piecewise Lyapunov function and matrix decoupling technique, a new delay-dependent non-fragile H∞ filtering method is proposed for the switching fuzzy system. The proposed condition is less conservative than the previous results. Since only a set of LMIs is involved, the filter parameters can be solved directly. Finally, a design example is provided to illustrate the validity of the proposed method.