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Periodic Model Predictive Control of Multi-Hop Control Networks

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Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/65210

Title: Periodic Model Predictive Control of Multi-Hop Control Networks
Authors: Satoh, Dai Browse this author
Kobayashi, Koichi Browse this author →KAKEN DB
Yamashita, Yuh Browse this author →KAKEN DB
Keywords: multi-hop control networks
model predictive control
switched linear systems
Issue Date: Feb-2017
Publisher: 電子情報通信学会
Journal Title: IEICE transactions on fundamentals of electronics communications and computer sciences
Volume: E100A
Issue: 2
Start Page: 406
End Page: 413
Publisher DOI: 10.1587/transfun.E100.A.406
Abstract: In this paper, a new method of model predictive control (MPC) for a multi-hop control network (MHCN) is proposed. An MHCN is a control system in which plants and controllers are connected through a multi-hop wireless network. In the proposed method, (i) control inputs and (ii) paths used in transmission of control inputs are computed with constant period by solving the finite-time optimal control problem. First, a mathematical model for expressing an MHCN is proposed. This model is given by a switched linear system, and is compatible with MPC. Next, the finite-time optimal control problem using this model is formulated, and is reduced to a mixed integer quadratic programming problem. Finally, a numerical example is presented to show the effectiveness of the proposed method.
Rights: copyright©2017 IEICE
Relation: http://search.ieice.org/
Type: article
URI: http://hdl.handle.net/2115/65210
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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