Periodic Model Predictive Control of Multi-Hop Control Networks

Dai SATOH; Koichi KOBAYASHI; Yuh YAMASHITA

doi:10.1587/transfun.E100.A.406

Periodic Model Predictive Control of Multi-Hop Control Networks

Dai SATOH, Koichi KOBAYASHI, Yuh YAMASHITA

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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.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E100-A No.2 pp.406-413

Publication Date: 2017/02/01

Publicized

Online ISSN: 1745-1337

DOI: 10.1587/transfun.E100.A.406

Type of Manuscript: Special Section PAPER (Special Section on Mathematical Systems Science and its Applications)

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Authors

Dai SATOH
  Hokkaido University
Koichi KOBAYASHI
  Hokkaido University
Yuh YAMASHITA
  Hokkaido University

Keyword

multi-hop control networks, model predictive control, switched linear systems

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Dai SATOH, Koichi KOBAYASHI, Yuh YAMASHITA, "Periodic Model Predictive Control of Multi-Hop Control Networks" in IEICE TRANSACTIONS on Fundamentals, vol. E100-A, no. 2, pp. 406-413, February 2017, 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.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1587/transfun.E100.A.406/_p

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@ARTICLE{e100-a_2_406,
author={Dai SATOH, Koichi KOBAYASHI, Yuh YAMASHITA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Periodic Model Predictive Control of Multi-Hop Control Networks},
year={2017},
volume={E100-A},
number={2},
pages={406-413},
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.},
keywords={},
doi={10.1587/transfun.E100.A.406},
ISSN={1745-1337},
month={February},}

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TY - JOUR
TI - Periodic Model Predictive Control of Multi-Hop Control Networks
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 406
EP - 413
AU - Dai SATOH
AU - Koichi KOBAYASHI
AU - Yuh YAMASHITA
PY - 2017
DO - 10.1587/transfun.E100.A.406
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E100-A
IS - 2
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - February 2017
AB - 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.
ER -