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- W2891130982 abstract "In this paper, an adaptive fuzzy tracking controller is developed for a class of strict-feedback Markovian jumping systems subjected to multisource uncertainties. The unpredictable actuator failures, the unknown nonlinearities, and the unmodeled dynamics are simultaneously taken into consideration, which evolve according to the Markov chain. It is noted that the elements in the transition rate matrix of the Markov chain are not fully available. In virtue of the norm estimation approach, the challenges caused by the complex multiple uncertainties and actuator failures are effectively handled. Furthermore, to compensate for the unavailable switching nonlinearities, the fuzzy logic systems are employed as online approximators. As a result, a novel adaptive fuzzy fault-tolerant tracking control structure is constructed. The sufficient condition is provided to guarantee that the studied system is stochastically stable. Finally, a number of illustrative examples are employed to demonstrate the effectiveness of the proposed methodology." @default.
- W2891130982 created "2018-09-27" @default.
- W2891130982 creator A5011540763 @default.
- W2891130982 creator A5052267876 @default.
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- W2891130982 date "2020-01-01" @default.
- W2891130982 modified "2023-10-14" @default.
- W2891130982 title "Adaptive Fuzzy Tracking Control for Strict-Feedback Markov Jumping Nonlinear Systems With Actuator Failures and Unmodeled Dynamics" @default.
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- W2891130982 doi "https://doi.org/10.1109/tcyb.2018.2865677" @default.
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