The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Dans cet article, le contrôle déclenché par un événement sur un réseau de capteurs est étudié comme l'une des méthodes de contrôle des systèmes cyber-physiques. Le contrôle déclenché par un événement est une méthode selon laquelle les communications se produisent uniquement lorsque la valeur mesurée est largement modifiée. Dans la méthode proposée, en résolvant un problème de faisabilité LMI (Inégalité matricielle linéaire), un contrôleur de rétroaction de sortie déclenché par un événement tel que le système en boucle fermée est asymptotiquement stable est dérivé. Tout d’abord, la formulation du problème est donnée. Ensuite, le problème de contrôle est réduit à un problème de faisabilité LMI. Enfin, la méthode proposée est démontrée par un exemple numérique.
Koichi KITAMURA
Hokkaido University
Koichi KOBAYASHI
Hokkaido University
Yuh YAMASHITA
Hokkaido University
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Koichi KITAMURA, Koichi KOBAYASHI, Yuh YAMASHITA, "LMI-Based Design of Output Feedback Controllers with Decentralized Event-Triggering" in IEICE TRANSACTIONS on Fundamentals,
vol. E105-A, no. 5, pp. 816-822, May 2022, doi: 10.1587/transfun.2021MAP0004.
Abstract: In this paper, event-triggered control over a sensor network is studied as one of the control methods of cyber-physical systems. Event-triggered control is a method that communications occur only when the measured value is widely changed. In the proposed method, by solving an LMI (Linear Matrix Inequality) feasibility problem, an event-triggered output feedback controller such that the closed-loop system is asymptotically stable is derived. First, the problem formulation is given. Next, the control problem is reduced to an LMI feasibility problem. Finally, the proposed method is demonstrated by a numerical example.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.2021MAP0004/_p
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@ARTICLE{e105-a_5_816,
author={Koichi KITAMURA, Koichi KOBAYASHI, Yuh YAMASHITA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={LMI-Based Design of Output Feedback Controllers with Decentralized Event-Triggering},
year={2022},
volume={E105-A},
number={5},
pages={816-822},
abstract={In this paper, event-triggered control over a sensor network is studied as one of the control methods of cyber-physical systems. Event-triggered control is a method that communications occur only when the measured value is widely changed. In the proposed method, by solving an LMI (Linear Matrix Inequality) feasibility problem, an event-triggered output feedback controller such that the closed-loop system is asymptotically stable is derived. First, the problem formulation is given. Next, the control problem is reduced to an LMI feasibility problem. Finally, the proposed method is demonstrated by a numerical example.},
keywords={},
doi={10.1587/transfun.2021MAP0004},
ISSN={1745-1337},
month={May},}
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TY - JOUR
TI - LMI-Based Design of Output Feedback Controllers with Decentralized Event-Triggering
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 816
EP - 822
AU - Koichi KITAMURA
AU - Koichi KOBAYASHI
AU - Yuh YAMASHITA
PY - 2022
DO - 10.1587/transfun.2021MAP0004
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E105-A
IS - 5
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - May 2022
AB - In this paper, event-triggered control over a sensor network is studied as one of the control methods of cyber-physical systems. Event-triggered control is a method that communications occur only when the measured value is widely changed. In the proposed method, by solving an LMI (Linear Matrix Inequality) feasibility problem, an event-triggered output feedback controller such that the closed-loop system is asymptotically stable is derived. First, the problem formulation is given. Next, the control problem is reduced to an LMI feasibility problem. Finally, the proposed method is demonstrated by a numerical example.
ER -