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• W2142062835 abstract "This paper is concerned with stability analysis and H∞decentralized control of discrete-time nonlinear large-scale systems via fuzzy control approach. Each of them consists J interconnected discrete-time nonlinear subsystems. First, the discrete-time nonlinear large-scale system is represented by an equivalent Takagi-Sugeno discrete-time fuzzy large scale model. Next, based on this fuzzy large-scale model, a sufficient condition on stability of the discrete-time nonlinear large-scale system is proposed. Furthermore, H∞ disturbance attenuation performance is analyzed and a state feedback decentralized fuzzy control scheme is developed to override the external disturbances such that the H∞disturbance attenuation performance is achieved and the stability of the discrete-time nonlinear large-scale systems is also guaranteed. All these results are characterized in terms of a linear matrix inequalities (LMIs), which can be solved efficiently in practice by convex programming technique. The design method is illustrated by application to the problem of balancing double-inverted pendulums system." @default.
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• W2142062835 date "2009-01-01" @default.
• W2142062835 modified "2023-10-02" @default.
• W2142062835 title "Stability Analysis and H infinity Decentralized Control for Discrete-Time Nonlinear Large-Scale Systems via Fuzzy Control Approach" @default.
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• W2142062835 doi "https://doi.org/10.1109/fskd.2009.772" @default.
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