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- W2741363896 abstract "Fuzzy adaptive tracking controllers for a class of uncertain nonlinear dynamical systems are proposed and analyzed. The controller consists of adaptive and robustifying components whose role is to nullify the effect of uncertainties and achieve a desired tracking performance. The interactions between the two components have been investigated. We use the Takagi-Sugeno-Kang type of the fuzzy logic system to approximate the controller. It is proved that the closed-loop system using this adaptive fuzzy controller is globally stable in the sense that all signals involved are bounded. Finally, we apply the method of direct adaptive fuzzy controllers to control an inverted pendulum and the simulation results are included." @default.
- W2741363896 created "2017-08-08" @default.
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- W2741363896 date "2009-01-01" @default.
- W2741363896 modified "2023-09-23" @default.
- W2741363896 title "The Adaptive Control of Nonlinear Systems Using the T-S-K Fuzzy Logic" @default.
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