Title | ||
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Control Synthesis of Hidden Semi-Markov Uncertain Fuzzy Systems via Observations of Hidden Modes. |
Abstract | ||
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This paper investigates the stability analysis and fuzzy control problems for a class of discrete-time fuzzy systems with hidden semi-Markov stochastic uncertainties. The nonlinear plant is described via the Takagi–Sugeno (T–S) fuzzy model, and the parameter uncertainties are represented by a hidden semi-Markov chain. Owing to the semi-Markov kernel (SMK), the probability density functions (PDFs) of sojourn time for different modes in describing the stochastic uncertainties can address different types of distributions according to different target modes. A novel Lyapunov function that depends on the hidden mode and the observed mode with the elapsed time is proposed to analyze the stability and the
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performance of the fuzzy system. Then, the sufficient criteria for the elapsed-time-dependent and observed-mode-dependent fuzzy controller are achieved by exploiting the observations of hidden modes, ensuring that the closed-loop system is
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-error mean square stable with guaranteed
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performance. A cart–pendulum system is used to demonstrate the effectiveness and applicability of the proposed theoretical results. |
Year | DOI | Venue |
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2020 | 10.1109/TCYB.2019.2921811 | IEEE Transactions on Cybernetics |
Keywords | DocType | Volume |
Uncertainty,Markov processes,Fuzzy systems,Switches,Probability density function,Stability analysis | Journal | 50 |
Issue | ISSN | Citations |
8 | 2168-2267 | 4 |
PageRank | References | Authors |
0.39 | 14 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Bo Cai | 1 | 26 | 3.46 |
Lixian Zhang | 2 | 3028 | 125.86 |
Yang Shi | 3 | 30 | 8.73 |