Automatica (Journal of IFAC)
Robust fuzzy decentralized control for nonlinear large-scale systems with parametric uncertainties
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
IEEE Transactions on Fuzzy Systems
Fuzzy Sets and Systems
Decentralized H∞ filter design for discrete-time interconnected fuzzy systems
IEEE Transactions on Fuzzy Systems
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 4
Adaptive observers for TS fuzzy systems with unknown polynomial inputs
Fuzzy Sets and 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
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
New robust H∞ fuzzy control for the interconnected bilinear systems subject to actuator saturation
ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part II
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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 investigates the stability and stabilization problems for the fuzzy large-scale system in which the system is composed of a number of Takagi-Sugeno fuzzy model subsystems with interconnections. The stability criterion of the fuzzy large-scale system without control is derived first. Instead of fuzzy parallel distributed compensation design, linear state feedback control is used in the stabilization work. Each local control is obtained from Riccati equation of the corresponding subsystem and the interconnection terms are used to determine the local feedback gain determination. Based on Lyapunov criterion, some conditions are derived under which the whole fuzzy large-scale system is stabilized asymptotically. A numerical example is given to illustrate the control design procedure and its effectiveness.