A novel approach to stability and stabilization of fuzzy sampled-data Markovian chaotic systems

@article{Zhang2017ANA,
  title={A novel approach to stability and stabilization of fuzzy sampled-data Markovian chaotic systems},
  author={Ruimei Zhang and Xinzhi Liu and Deqiang Zeng and Shouming Zhong and Kaibo Shi},
  journal={Fuzzy Sets Syst.},
  year={2017},
  volume={344},
  pages={108-128}
}
  • Ruimei Zhang, Xinzhi Liu, +2 authors Kaibo Shi
  • Published in Fuzzy Sets Syst. 2017
  • Computer Science, Mathematics
  • Abstract This paper studies the problems of stability and stabilization of a class of Markovian chaotic systems via fuzzy sampled-data control. Different from some existing results, the Markovian jumping with general uncertain transition rates is considered for such systems. A novel approach, i.e., input-delay-dependent vector approach, is proposed for the first time. Based on this approach, an input-delay-dependent Lyapunov–Krasovskii functional (LKF) with cubic function of input delay is… CONTINUE READING

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