Quantized control for extended dissipative synchronization of chaotic neural networks: A discretized LKF method.

Journal: ISA transactions
PMID: 34148650

Abstract

This work focuses on the extended dissipative synchronization problem for chaotic neural networks with time delay under quantized control. The discretized Lyapunov-Krasovskii functional method, in combination with the free-weighting matrix approach, is employed to obtain an analysis result of the extended dissipativity with low conservatism. Then, with the help of several decoupling methods, a computationally tractable design approach is proposed for the needed quantized controller. Finally, two examples are provided to illustrate the usefulness of the present analysis and design methods, respectively.

Authors

  • Yuan Wang
    State Key Laboratory of Soil and Sustainable Agriculture, Changshu National Agro-Ecosystem Observation and Research Station, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, China.
  • Youmei Zhou
    School of Computer Science and Technology, Anhui University of Technology, Ma'anshan 243002, China.
  • Jianping Zhou
    School of Computer Science & Technology, Anhui University of Technology, Ma'anshan 243032, PR China.
  • Jianwei Xia
    School of Mathematics Science, Liaocheng University, Liaocheng 252000, PR China.
  • Zhen Wang
    Department of Otolaryngology, Longgang Otolaryngology hospital & Shenzhen Key Laboratory of Otolaryngology, Shenzhen Institute of Otolaryngology, Shenzhen, Guangdong, China.

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