Finite‐time sliding mode synchronisation of a fractional‐order hyperchaotic system optimised using a differential evolution algorithm with dual neural networks-Reference-Cited by-同舟云学术

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Finite‐time sliding mode synchronisation of a fractional‐order hyperchaotic system optimised using a differential evolution algorithm with dual neural networks

Published:2022-10-30 Issue: Volume: Page:
ISSN:2047-4954
Container-title:IET Networks
language:en
Short-container-title:IET Networks

Author:

Shao Keyong¹,Feng Ao¹,Wang Tingting¹,Li Wenju¹,Jiang Jilu¹

Affiliation:

1. School of Electrical Information&Engineering Northeast Petroleum University Daqing China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Control and Optimization,Management Science and Operations Research,Computer Networks and Communications

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/ntw2.12069

Reference33 articles.

1. Chaos and hyperchaos in the fractional-order Rössler equations

2. A derivative concept with respect to an arbitrary kernel and applications to fractional calculus

3. Anti-synchronization and intermittent anti-synchronization of two identical hyperchaotic Chua systems via impulsive control

4. A new approach in anti-synchronization of a fractional-order hyper-chaotic Duffing system based on new nonlinear predictive control

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