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Stabilizing fuzzy system models using linear controllers
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DOI：10.1109/91.755404.png)
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Abstract
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A Lyapunov-based approach is used to derive a sufficiency condition for stabilizing a class of fuzzy system models using linear controllers. A design algorithm for constructing stabilizing linear controllers is given, The results obtained are illustrated with a design of a linear stabilizing controller for a system consisting of an inverted pendulum mounted on a cart. The controller is designed using a fuzzy model of the system and tested on the original system model.
Keywords:
Lyapunov's second method
fuzzy modeling
stability
uncertain systems
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