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State-Dependent Intermittent Synchronization Control for Coupled Switched Neural Networks: A Prescribed-Time Approach
Research Article | Published: 24 August 2025
Journal of Nonlinear Dynamics and Applications Volume 1, Issue 1, 2025: 3-9
Volume 1, Issue 1, Journal of Nonlinear Dynamics and Applications
Volume 1, Issue 1, 2025
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Journal of Nonlinear Dynamics and Applications, Volume 1, Issue 1, 2025: 3-9

Free to Read | Research Article | 24 August 2025
State-Dependent Intermittent Synchronization Control for Coupled Switched Neural Networks: A Prescribed-Time Approach
by
Yu Yao Yu Yao 1
Changqing Long Changqing Long 2 *
1 Southwest Guizhou Vocational and Technical College for Nationalities, Xingyi 562400, China
2 College of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China
* Corresponding Author: Changqing Long, [email protected]
DOI: 10.62762/JNDA.2025.493957
Received: 30 June 2025, Accepted: 03 August 2025, Published: 24 August 2025  
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Abstract
This paper addresses the problem of achieving prescribed-time synchronization of coupled switched neural networks (CSNNs) using state-dependent intermittent control. Unlike traditional intermittent control, the intervals for work and rest in this approach are not pre-designed but determined by the relationship between the designed Lyapunov function and the boundary auxiliary functions. The proposed control strategy can effectively mitigate chattering behavior arising from rapid switching in traditional intermittent control. Subsequently, leveraging Lyapunov theory and various inequality techniques, we develop a new set of sufficient conditions, formulated as linear matrix inequalities (LMIs), to ensure prescribed-time synchronization of CSNNs under the designed intermittent control strategy. In the end, a numerical example is given to verify the obtained theoretical results.
Graphical Abstract
State-Dependent Intermittent Synchronization Control for Coupled Switched Neural Networks: A Prescribed-Time Approach
Keywords
coupled switched neural networks
intermittent control
prescribed-time synchronization
Lyapunov function
linear matrix inequalities
Data Availability Statement
Data will be made available on request.
Funding
This work was supported without any funding.
Conflicts of Interest
The authors declare no conflicts of interest.
Ethical Approval and Consent to Participate
Not applicable.
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Cite This Article
APA Style
Yao, Y., & Long, C. (2025). State-Dependent Intermittent Synchronization Control for Coupled Switched Neural Networks: A Prescribed-Time Approach. Journal of Nonlinear Dynamics and Applications, 1(1), 3–9. https://doi.org/10.62762/JNDA.2025.493957
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