A proposal of ubiquitous fuzzy computing for Ambient Intelligence
Information Sciences: an International Journal
Robust H∞ control for discrete-time fuzzy systems with infinite-distributed delays
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Decentralized H∞ filter design for discrete-time interconnected fuzzy systems
IEEE Transactions on Fuzzy Systems
Decentralized fuzzy H∞filtering for nonlinear interconnected systems with multiple time delays
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on gait analysis
On the continuous-time Takagi-Sugeno fuzzy systems stability analysis
Applied Soft Computing
IEEE Transactions on Fuzzy Systems
Sequential stability analysis and observer design for distributed TS fuzzy systems
Fuzzy Sets and Systems
On the stability issues for fuzzy large-scale systems
Fuzzy Sets and Systems
Rule base identification in fuzzy networks by Boolean matrix equations
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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This paper studies the decentralized stabilization problem for a large-scale system. The considered large-scale system comprises of a number of subsystems and each subsystem is represented by a Takagi-Sugeno (T-S) fuzzy model. The interconnection between any two subsystems may be nonlinear and satisfies some matching condition. By the concept of parallel distributed compensation (PDC), the decentralized fuzzy control for each subsystem is synthesized, in which the control gain depends on the strength of interconnections, maximal number of the fired rules in each subsystem, and the common positive matrix Pi. Based on Lyapunov criterion and Riccati-inequality, some sufficient conditions are derived and the common Pi is solved by linear matrix inequalities (LMI) so that the whole closed loop large-scale fuzzy system with the synthesized fuzzy control is asymptotically stable. Finally, a numerical example is given to illustrate the control synthesis and its effectiveness.