Stability analysis and design of fuzzy control systems
Fuzzy Sets and Systems
Discrete-time control systems (2nd ed.)
Discrete-time control systems (2nd ed.)
Automatica (Journal of IFAC)
Stability analysis of fuzzy large-scale systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
TSK fuzzy systems types II and III stability analysis: continuous case
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
An improved stability criterion for T-S fuzzy discrete systems via vertex expression
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
On stability of fuzzy systems expressed by fuzzy rules with singleton consequents
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Robust stability constraints for fuzzy model predictive control
IEEE Transactions on Fuzzy Systems
Stability and stabilization of fuzzy large-scale systems
IEEE Transactions on Fuzzy Systems
Decentralized PDC for large-scale T-S fuzzy systems
IEEE Transactions on Fuzzy Systems
Stability Analysis of Discrete TSK Type II/III Systems
IEEE Transactions on Fuzzy Systems
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The main objective of this paper is to investigate the stability and stabilization problem of fuzzy large-scale systems in which the system is composed of a number of Takagi-Sugeno fuzzy subsystems with interconnection. Instead of fuzzy parallel distributed compensation (PDC) design, nonlinear state feedback controllers are used in stabilization of the overall large-scale system. Based on Lyapunov stability theory, linear matrix inequalities (LMIs) conditions are derived for asymptotic and exponential stability. Two numerical examples are given to confirm the analytical results and illustrate the effectiveness of the proposed strategy.