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Hokkaido University Collection of Scholarly and Academic Papers >
Graduate School of Information Science and Technology / Faculty of Information Science and Technology >
Peer-reviewed Journal Articles, etc >
Output Feedback Ultimate Boundedness Control with Decentralized Event-Triggering
| Title: | Output Feedback Ultimate Boundedness Control with Decentralized Event-Triggering |
| Authors: | Kitamura, Koichi Browse this author | | Kobayashi, Koichi Browse this author →KAKEN DB | | Yamashita, Yuh Browse this author →KAKEN DB |
| Keywords: | cyber-physical systems | | event-triggered control | | LMI (linear matrix inequality) | | output feedback controllers | | sensor networks | | uniformly ultimate boundedness |
| Issue Date: | 1-May-2024 |
| Publisher: | IEICE - Institute of the Electronics, Information and Communication Engineers |
| Journal Title: | IEICE transactions on fundamentals of electronics communications and computer sciences |
| Volume: | E107A |
| Issue: | 5 |
| Start Page: | 770 |
| End Page: | 778 |
| Publisher DOI: | 10.1587/transfun.2023MAP0005 |
| Abstract: | In cyber-physical systems (CPSs) that interact between physical and information components, there are many sensors that are connected through a communication network. In such cases, the reduction of communication costs is important. Event -triggered control that the control input is updated only when the measured value is widely changed is well known as one of the control methods of CPSs. In this paper, we propose a design method of output feedback controllers with decentralized event -triggering mechanisms, where the notion of uniformly ultimate boundedness is utilized as a control specification. Using this notion, we can guarantee that the state stays within a certain set containing the origin after a certain time, which depends on the initial state. As a result, the number of times that the event occurs can be decreased. First, the design problem is formulated. Next, this problem is reduced to a BMI (bilinear matrix inequality) optimization problem, which can be solved by solving multiple LMI (linear matrix inequality) optimization problems. Finally, the effectiveness of the proposed method is presented by a numerical example. |
| Rights: | copyright©2024 IEICE |
| Type: | article |
| URI: | http://hdl.handle.net/2115/92832 |
| Appears in Collections: | 情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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Submitter: 小林 孝一
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