Integrated L∞ anti-disturbance synchronization control for switched neural networks with unknown delays

Wenting Chang, Hong Sang, Liangdong Guo, Libing Wu and Georgi M. Dimirovski

Chaos, Solitons & Fractals, 2024, vol. 179, issue C

Abstract: This research is concerned with the integrated L∞ anti-disturbance synchronization control problem for continuous-time switched neural networks (SNNs). Different from the relevant synchronization results about SNNs, multiple disturbances and unknown delays are simultaneously addressed in a uniform framework. By constructing the novel Lyapunov function and the ameliorative combined switching strategy, an L∞ performance analysis framework with less conservativeness is then established, where each individual subnetwork is unnecessary to possess a prescribed L∞ performance index. By designing an appropriate disturbance observer and transforming the delay-dependent neuron activation function into a bounded disturbance, an integrated L∞ anti-disturbance synchronization control paradigm is also presented on the basis of the proposed analysis framework. Finally, three illustrative examples are employed to substantiate the applicability and superiority of the developed theoretical results.

Keywords: Switched neural networks; Anti-disturbance synchronization; Multiple disturbances; Unknown delays; Ameliorative combined switching strategy (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:179:y:2024:i:c:s0960077924000262

DOI: 10.1016/j.chaos.2024.114475

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