Monotonically-increasing-function-based event-triggered sampling scheme for stabilization of networked nonlinear systems

Abstract This paper is concerned with event-triggered stabilization of a class of nonlinear networked systems. First, a novel event-triggered sampling scheme is proposed based on a monotonically increasing function in the form of the integral of the error norm between the current state and the latest triggered state. It is proven that this scheme ensures the minimum inter-event time to be strictly greater than zero in an explicit expression. Second, a novel Lyapunov functional tailored for the proposed event-triggered scheme is constructed. By applying the looped functional method, a sampling-interval-dependent stabilization criterion is derived. This criterion provides an algorithm to co-design both control gains and event-triggered parameters for a given threshold. Finally, a practical system comprising two identical pendulums is given to demonstrate the effectiveness of the proposed method.

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Publication Details

Journal
Science China Information Sciences
Published
2026-01-29
DOI
https://doi.org/10.1007/s11432-025-4644-x
Citations
1
Primary Topic
Neural Networks Stability and Synchronization
Type
article
Field-Weighted Citation Impact
48.10
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article

Monotonically-increasing-function-based event-triggered sampling scheme for stabilization of networked nonlinear systems

Bao–Lin Zhang, Xiaohua Ge, Xian-Ming Zhang, Qing-Long Han
1 citations
Science China Information Sciences
Neural Networks Stability and Synchronization
48.10
article

Monotonically-increasing-function-based event-triggered sampling scheme for stabilization of networked nonlinear systems

Bao–Lin Zhang, Xiaohua Ge, Xian-Ming Zhang, Qing-Long Han
article en
1 citations

Abstract

Abstract This paper is concerned with event-triggered stabilization of a class of nonlinear networked systems. First, a novel event-triggered sampling scheme is proposed based on a monotonically increasing function in the form of the integral of the error norm between the current state and the latest triggered state. It is proven that this scheme ensures the minimum inter-event time to be strictly greater than zero in an explicit expression. Second, a novel Lyapunov functional tailored for the proposed event-triggered scheme is constructed. By applying the looped functional method, a sampling-interval-dependent stabilization criterion is derived. This criterion provides an algorithm to co-design both control gains and event-triggered parameters for a given threshold. Finally, a practical system comprising two identical pendulums is given to demonstrate the effectiveness of the proposed method.

Science China Information SciencesVol. 69(5)
Qingdao University of Science and Technology (CN), Swinburne University of Technology (AU)
Openalex Percentile: Top 0%
Neural Networks Stability and Synchronization
48.10
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