Connection of Intermittent Control and Impulsive Control and Extend to Synchronization of Nonlinear Systems

ABSTRACT Since the ideal impulsive signals are difficult to apply in practical control systems, this paper explores the connection from impulsive control to intermittent control via the characteristics and relationships of two control methods, thereby making impulsive control practical. Based on impulsive differential equations and Lyapunov stability theory, a sufficient condition for replacing impulsive control with intermittent control is derived. On this basis, replacement algorithms for the two control methods are presented, including the selection rules of control parameters. Furthermore, the proposed control strategy is extended to achieve the synchronization of nonlinear systems. Moreover, the framework is extended to the case where impulsive intervals are allowed to vary within prescribed time windows. Finally, some simulation examples are presented to verify the validity of the results in this paper.

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Publication Details

Journal
International Journal of Robust and Nonlinear Control
Published
2026-09-28
DOI
https://doi.org/10.1002/rnc.70766
Primary Topic
Neural Networks Stability and Synchronization
Type
article
Field-Weighted Citation Impact
0.00
Controls
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article

Connection of Intermittent Control and Impulsive Control and Extend to Synchronization of Nonlinear Systems

Zhengle Zhang, Fandi Qing
International Journal of Robust and Nonlinear Control
Neural Networks Stability and Synchronization
article

Connection of Intermittent Control and Impulsive Control and Extend to Synchronization of Nonlinear Systems

Zhengle Zhang, Fandi Qing
article en

Abstract

ABSTRACT Since the ideal impulsive signals are difficult to apply in practical control systems, this paper explores the connection from impulsive control to intermittent control via the characteristics and relationships of two control methods, thereby making impulsive control practical. Based on impulsive differential equations and Lyapunov stability theory, a sufficient condition for replacing impulsive control with intermittent control is derived. On this basis, replacement algorithms for the two control methods are presented, including the selection rules of control parameters. Furthermore, the proposed control strategy is extended to achieve the synchronization of nonlinear systems. Moreover, the framework is extended to the case where impulsive intervals are allowed to vary within prescribed time windows. Finally, some simulation examples are presented to verify the validity of the results in this paper.

International Journal of Robust and Nonlinear Control
University of Science and Technology of China (CN), Henan University of Technology (CN)
Openalex Percentile: Top 9%
Neural Networks Stability and Synchronization
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