Co-existence of robust output-feedback synchronization and anti-synchronization of delayed discrete-time neural networks with its application
Author:
Funder
Department of Science and Technology
Nazarbayev University
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s40314-023-02575-5.pdf
Reference38 articles.
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3. Chanthorn P, Rajchakit G, Thipcha J, Emharuethai C, Sriraman R, Lim CP, Ramachandran R (2020) Robust stability of complex-valued stochastic neural networks with time-varying delays and parameter uncertainties. Mathematics 8(5):742
4. Chaouki A, Touati F (2020) Global dissipativity of Clifford-valued multidirectional associative memory neural networks with mixed delays. Comput Appl Math 39:1–21
5. Chen J, Park JH, Xu S (2022) Improved stability criteria for discrete-time delayed neural networks via novel Lyapunov–Krasovskii functionals. IEEE Trans Cybern 52(11):11885–11892
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