Enhancing the settling time estimation of fixed-time stability and applying it to the predefined-time synchronization of delayed memristive neural networks with external unknown disturbance-Reference-Cited by-同舟云学术

Enhancing the settling time estimation of fixed-time stability and applying it to the predefined-time synchronization of delayed memristive neural networks with external unknown disturbance

Published:2020-08 Issue:8 Volume:30 Page:083110
ISSN:1054-1500
Container-title:Chaos: An Interdisciplinary Journal of Nonlinear Science
language:en
Short-container-title:Chaos

Author:

Lin Lixiong¹^ORCID,Wu Peixin¹,Chen Yanjie¹,He Bingwei¹

Affiliation:

1. School of Mechanical Engineering and Automation, Fuzhou University, Fujian 350116, People’s Republic of China

Funder

Natural Science Foundation of Fujian Province

Department of Education, Fujian Province

Publisher

AIP Publishing

Subject

Applied Mathematics,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics

Link

http://aip.scitation.org/doi/pdf/10.1063/5.0010145

Reference45 articles.

1. The missing memristor found

2. Projective synchronization of two different fractional-order chaotic systems via adaptive fuzzy control

3. Adaptive synchronization of chaotic Cohen–Crossberg neural networks with mixed time delays

4. Optimal control and synchronization of Lorenz system with complete unknown parameters

5. Pinning-controlled synchronization of delayed neural networks with distributed-delay coupling via impulsive control

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