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Event-Triggered and Self-Triggered Control for Networked Control Systems Using Online Optimization
Title: | Event-Triggered and Self-Triggered Control for Networked Control Systems Using Online Optimization |
Authors: | Kobayashi, Koichi Browse this author →KAKEN DB | Hiraishi, Kunihiko Browse this author |
Keywords: | event-triggered control | self-triggered control | networked control systems | model predictive control |
Issue Date: | Feb-2016 |
Publisher: | 電子情報通信学会 |
Journal Title: | IEICE transactions on fundamentals of electronics communications and computer sciences |
Volume: | E99A |
Issue: | 2 |
Start Page: | 468 |
End Page: | 474 |
Publisher DOI: | 10.1587/transfun.E99.A.468 |
Abstract: | Event-triggered and self-triggered control methods are an important control strategy in networked control systems. Event-triggered control is a method that the measured signal is sent to the controller (i.e., the control input is recomputed) only when a certain condition is satisfied. Self-triggered control is a method that the control input and the (non-uniform) sampling interval are computed simultaneously. In this paper, we propose new methods of event-triggered control and self-triggered control from the viewpoint of online optimization (i.e., model predictive control). In self-triggered control, the control input and the sampling interval are obtained by solving a pair of a quadratic programming (QP) problem and a mixed integer linear programming (MILP) problem. In event-triggered control, whether the control input is updated or not is determined by solving two QP problems. The effectiveness of the proposed methods is presented by numerical examples. |
Rights: | copyright©2016 IEICE |
Type: | article |
URI: | http://hdl.handle.net/2115/62588 |
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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