Nonlinear systems (vol. 2): applications to bilinear control
Nonlinear systems (vol. 2): applications to bilinear control
Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach
Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach
Design of interval type-2 fuzzy sliding-mode controller
Information Sciences: an International Journal
Robust H∞ static output feedback control of fuzzy systems: an ILMI approach
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Robust Fuzzy Control for a Class of Uncertain Discrete Fuzzy Bilinear 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
Delay-dependent guaranteed cost control for T-S fuzzy systems with time delays
IEEE Transactions on Fuzzy Systems
Robust H∞ control for uncertain discrete-time-delay fuzzy systems via output feedback controllers
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
T–S Fuzzy Bilinear Model and Fuzzy Controller Design for a Class of Nonlinear Systems
IEEE Transactions on Fuzzy Systems
Observer-Based Stabilization of T–S Fuzzy Systems With Input Delay
IEEE Transactions on Fuzzy Systems
Stabilization of Networked Stochastic Time-Delay Fuzzy Systems With Data Dropout
IEEE Transactions on Fuzzy Systems
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This paper presents robust fuzzy controllers for a class of T -S time-delay discrete fuzzy bilinear systems (DFBSs) with disturbance which ensures the robust asymptotic stability of the closed-loop system and guarantees an H∞ norm bound constraint on disturbance attenuation. Firstly, we proposed a H∞ fuzzy controller to stabilize the T-S DFBS with disturbance. Secondly, based on the Schur complement and some variable transformation, the stability conditions of the overall fuzzy control system are formulated by linear matrix inequalities (LMIs). Finally, the validity and applicability of the proposed schemes are demonstrated by simulations.