Improved accumulative-error event-triggered control for discrete-time linear systems with random time delays

A stability problem under event-triggered control for discrete linear systems with random time delays is considered in this paper. First, this paper improves an accumulative error-based event-triggered approach, which can switch the event-triggered parameter between the two-modes over time. Second, a new closed-loop discrete Markov switching system equation is derived by decoupling the accumulative error term, and the time delays are equal to the current Markov modes when the event-triggered scheme is met. Third, the co-designing problems for control gains and event-triggered parameters in the system are solved. Finally, the stochastic stability of the system is guaranteed through random analysis techniques and a free-weighting matrix method, and the effectiveness of the approach is demonstrated by using numerical examples.

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Publication Details

Journal
AIMS Mathematics
Published
2025-01-01
DOI
https://doi.org/10.3934/math.20251004
Primary Topic
Stability and Control of Uncertain Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Improved accumulative-error event-triggered control for discrete-time linear systems with random time delays

Changxin Li, Jing Huang, Zhi Fu
AIMS Mathematics
Stability and Control of Uncertain Systems
article

Improved accumulative-error event-triggered control for discrete-time linear systems with random time delays

Changxin Li, Jing Huang, Zhi Fu
article en

Abstract

A stability problem under event-triggered control for discrete linear systems with random time delays is considered in this paper. First, this paper improves an accumulative error-based event-triggered approach, which can switch the event-triggered parameter between the two-modes over time. Second, a new closed-loop discrete Markov switching system equation is derived by decoupling the accumulative error term, and the time delays are equal to the current Markov modes when the event-triggered scheme is met. Third, the co-designing problems for control gains and event-triggered parameters in the system are solved. Finally, the stochastic stability of the system is guaranteed through random analysis techniques and a free-weighting matrix method, and the effectiveness of the approach is demonstrated by using numerical examples.

AIMS MathematicsVol. 10(9)
Changsha University (CN), Hunan University of Technology (CN), Changsha University of Science and Technology (CN)
Openalex Percentile: Top 67%
Stability and Control of Uncertain Systems
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