State bounding for fuzzy memristive neural networks with bounded input disturbances.

Journal: Neural networks : the official journal of the International Neural Network Society
Published Date: Dec 3, 2020

Abstract

This paper investigates the state bounding problem of fuzzy memristive neural networks (FMNNs) with bounded input disturbances. By using the characters of Metzler, Hurwitz and nonnegative matrices, this paper obtains the exact delay-independent and delay-dependent boundary ranges of the solution, which have less conservatism than the results in existing literatures. The validity of the results is verified by two numerical examples.

Authors

  • Yu Gao
    Department of Radiology Center, The First Affiliated Hospital of Xinxiang Medical University, Xin Xiang, China.
  • Song Zhu
    College of Sciences, China University of Mining and Technology, Xuzhou, 221116, China. Electronic address: songzhu82@gmail.com.
  • Chunyu Yang
    School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, 221116, China.
  • Shiping Wen

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