A Common Lyapunov Function Approach to Event-Triggered Control with Self-Triggered Sampling for Switched Linear Systems

In this paper, a common Lyapunov function approach to event-triggered control with self-triggered sampling for switched linear systems is proposed. A switched system is a system where the dynamics can be switched by a switching signal (mode). In the proposed method, based on the upper bound of the common Lyapunov function, the update time of the control input and the mode, and the next sampling time of the state are determined. As a control specification, it is guaranteed that the closed-loop system is uniformly ultimately bounded. Finally, the proposed method is demonstrated by a numerical example.

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Publication Details

Journal
IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences
Published
2024-10-08
DOI
https://doi.org/10.1587/transfun.2024eap1059
Citations
2
Primary Topic
Advanced Control Systems Optimization
Type
article
Field-Weighted Citation Impact
0.66
Controls
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article

A Common Lyapunov Function Approach to Event-Triggered Control with Self-Triggered Sampling for Switched Linear Systems

Koichi Kobayashi, Yuh Yamashita, Shota Nakayama
2 citations
IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences
Advanced Control Systems Optimization
0.66
article

A Common Lyapunov Function Approach to Event-Triggered Control with Self-Triggered Sampling for Switched Linear Systems

Koichi Kobayashi, Yuh Yamashita, Shota Nakayama
article en
2 citations

Abstract

In this paper, a common Lyapunov function approach to event-triggered control with self-triggered sampling for switched linear systems is proposed. A switched system is a system where the dynamics can be switched by a switching signal (mode). In the proposed method, based on the upper bound of the common Lyapunov function, the update time of the control input and the mode, and the next sampling time of the state are determined. As a control specification, it is guaranteed that the closed-loop system is uniformly ultimately bounded. Finally, the proposed method is demonstrated by a numerical example.

IEICE Transactions on Fundamentals of Electronics Communications and Computer SciencesVol. E108.A(4)
Hokkaido University (JP)
Openalex Percentile: Top 30%
Advanced Control Systems Optimization
0.66
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