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- W2969454877 abstract "This paper proposes a novel adaptive control approach for a class of stochastic switched nonlinear system with pure feedback structure. An important lemma is developed to overcome the design difficulty from the non-affine pure feedback structure. Combining backstepping technique with neural network approximation, a state feedback adaptive controller is given. And this controller can ensure that all of the signals in the closed-loop system are bounded, and the tracking error converges to a small enough neighborhood of the zero. A simulation example is used to verify the effectiveness of our results." @default.
- W2969454877 created "2019-08-29" @default.
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- W2969454877 date "2019-11-01" @default.
- W2969454877 modified "2023-09-26" @default.
- W2969454877 title "A novel adaptive control method for a class of stochastic switched pure feedback systems" @default.
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- W2969454877 doi "https://doi.org/10.1016/j.neucom.2019.06.061" @default.
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