Observer-based resilient dissipativity control for discrete-time memristor-based neural networks with unbounded or bounded time-varying delays-Reference-Cited by-同舟云学术

Observer-based resilient dissipativity control for discrete-time memristor-based neural networks with unbounded or bounded time-varying delays

Published:2024-07 Issue: Volume:175 Page:106279
ISSN:0893-6080
Container-title:Neural Networks
language:en
Short-container-title:Neural Networks

Author:

Tu Kairong^ORCID,Xue Yu,Zhang Xian^ORCID

Funder

Heilongjiang Province Natural Science Foundation

Publisher

Elsevier BV

Reference48 articles.

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2. Exponential extended dissipative performance for delayed discrete-time neural networks under memoryless resilient-based observer design;Adhira;Journal of the Franklin Institute,2022

3. Finite-time and fixed-time sliding mode control for discontinuous nonidentical recurrent neural networks with time-varying delays;Aouiti;International Journal of Robust and Nonlinear Control,2022

4. New results on stabilization of complex-valued second-order memristive neural networks with mixed delays and discontinuous activations functions;Aouiti;Computational & Applied Mathematics,2022

5. Global dissipativity of fuzzy bidirectional associative memory neural networks with proportional delays;Aouiti;International Journal of Fuzzy Systems,2021

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