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Event-Triggered and Self-Triggered Control for Networked Control Systems Using Online Optimization

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Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/62588

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)

Submitter: 小林 孝一

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