H∞ Exponential Synchronization of Switched Cellular Neural Networks Based on Disturbance Observer-based Control

Hou, Linlin; Ma, Pengfei; Ma, Xuan; Sun, Haibin

doi:10.1007/s12555-022-0917-7

Int. J. Control Autom. Syst.

2024

DOI: 10.1007/s12555-022-0917-7

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H∞ Exponential Synchronization of Switched Cellular Neural Networks Based on Disturbance Observer-based Control

Linlin Hou,

Pengfei Ma,

Xuan Ma

et al.

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2024

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Synchronization of a class of nonlinear multiple neural networks with delays via a dynamic event-triggered impulsive control strategy

Yi,

Cai,

Guo

2024

era

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<p>In this paper, the impulsive synchronization of a class of nonlinear multiple neural networks (MNNs) with multi-delays was considered under a dynamic event-based mechanism. To achieve a more comprehensive synchronization outcome and mitigate the conservativeness of impulsive control due to predetermined time sequences, we integrated a dynamic event-triggered strategy. This approach formed a novel control framework for generalized MNNs, where impulsive inputs were applied only under specific conditions governed by event-triggering rules. Towards the above objectives, the impulsive jumping system, resulting from dynamic component, and matrix measure method were invoked to directly increase the computational simplicity and extensibility of the study. As the outcome, the synchronization criteria for the MNNs could be achieved, and the exponential convergence rate is resolved by considering both the generalized comparison principle regarding impulsive systems and the variable parameter formula. Moreover, Zeno-freeness of the achieved triggering regulation is ensured. Finally, two numerical examples confirmed the validity of the designed approach.</p>

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Synchronization of a class of nonlinear multiple neural networks with delays via a dynamic event-triggered impulsive control strategy

Yi,

Cai,

Guo

2024

era

View full text Add to dashboard Cite

show abstract

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H∞ Exponential Synchronization of Switched Cellular Neural Networks Based on Disturbance Observer-based Control

Cited by 1 publication

References 29 publications

Synchronization of a class of nonlinear multiple neural networks with delays via a dynamic event-triggered impulsive control strategy

Synchronization of a class of nonlinear multiple neural networks with delays via a dynamic event-triggered impulsive control strategy

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