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- W2565473498 abstract "This paper studies an adaptive fuzzy tracking control problem for nonlinear stochastic systems with input saturation and nonstrict-feedback form. We use fuzzy logic systems to approximate unknown nonlinear functions. A novel approach is introduced to tackle unknown functions with nonstrict-feedback structure in the design process. By introducing an auxiliary system, the input saturation problem can be solved. Moreover, based on backstepping control design approach, a novel adaptive fuzzy tracking controller is designed to guarantee all signals in the closed-loop system to be bounded, and the system output can be driven to track the trajectory of a given reference signal. Finally, some simulation results are given to confirm the effectiveness of the proposed approach." @default.
- W2565473498 created "2017-01-06" @default.
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- W2565473498 date "2017-08-01" @default.
- W2565473498 modified "2023-10-17" @default.
- W2565473498 title "Adaptive Fuzzy Control of Stochastic Nonstrict-Feedback Nonlinear Systems With Input Saturation" @default.
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- W2565473498 doi "https://doi.org/10.1109/tsmc.2016.2635678" @default.
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