Journal
IEEE TRANSACTIONS ON CYBERNETICS
Volume 49, Issue 7, Pages 2420-2430Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCYB.2018.2813279
Keywords
Asynchronous controller; hidden Markov model (HMM); random quantization; Takagi-Sugeno (T-S) fuzzy technique
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Funding
- National Nature Science Foundation of China [61773131, 61573112, U1509217]
- Australian Research Council [DP170102644]
- Zhejiang Provincial Natural Science Foundation of China [LR16F030001]
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This paper considers the problem of asynchronous guaranteed cost control (GCC) for nonlinear Markov jump systems with stochastic quantization. Hidden Markov model is used to describe the nonsynchronous controller and the random quantization phenomenon. Based on Takagi-Sugeno fuzzy technique and Lyapunov function approach, a sufficient condition is obtained, which can not only ensure the asymptotic stability of the closed-loop system and existence of the desired controller, but also can yield the minimal upper bound of GCC performance. Finally, two examples are provided to demonstrate the correctness and reliability of our developed approaches.
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