research-article

Ant colony optimization for model predictive control for blood glucose regulation

Authors:

Yvonne Ho,

Binh P. Nguyen,

Chee-Kong ChuiAuthors Info & Claims

SoICT '12: Proceedings of the 3rd Symposium on Information and Communication Technology

Pages 214 - 217

https://doi.org/10.1145/2350716.2350749

Published: 23 August 2012 Publication History

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Abstract

This paper presents an adaptation of the Ant System method to find the optimal control input for blood glucose regulation using Model Predictive Control (MPC). The Ant System optimization method was implemented to solve a linear MPC problem and performance was compared with the interior point method for optimization. The Ant System was found to perform well for the linear MPC problem and has the advantage over the interior point method as it can extended for use with non-linear MPC problems.

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Cited By

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Sharma RGaur PBhatt SJoshi D(2022)Performance Assessment of Fuzzy Logic Control Approach for MR-Damper Based-Transfemoral Prosthetic LegIEEE Transactions on Artificial Intelligence10.1109/TAI.2021.31068843:1(53-66)Online publication date: Feb-2022
https://doi.org/10.1109/TAI.2021.3106884
Nobahari HNasrollahi S(2019)A non-linear estimation and model predictive control algorithm based on ant colony optimizationTransactions of the Institute of Measurement and Control10.1177/014233121879868041:4(1123-1138)Online publication date: 25-Feb-2019
https://doi.org/10.1177/0142331218798680

Index Terms

Ant colony optimization for model predictive control for blood glucose regulation
1. Computing methodologies
  1. Artificial intelligence
    1. Control methods
      1. Computational control theory

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Information & Contributors

Information

Published In

SoICT '12: Proceedings of the 3rd Symposium on Information and Communication Technology

August 2012

290 pages

ISBN:9781450312325

DOI:10.1145/2350716

Conference Chair:
Giang Nguyen Trong
HUST, Vietnam
,
General Chairs:
Ladislave Hluchy
Slovak Academy of Sciences, Slovakia
,
Thang Huynh Quyet
HUST, Vietnam
,
Program Chairs:
Eric Castelli
MICA, France-Vietnam
,
Khanh Tran Duc
HUST, Vietnam
,
Mai Luong Chi
IoIT, VAST, Vietnam
,
Viet Tran
Slovak Academy of Sciences, Slovakia

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 August 2012

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SoICT '12

SoICT '12: Symposium on Information and Communication Technology 2012

August 23 - 24, 2012

Ha Long, Vietnam

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Overall Acceptance Rate 147 of 318 submissions, 46%

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Cited By

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Sharma RGaur PBhatt SJoshi D(2022)Performance Assessment of Fuzzy Logic Control Approach for MR-Damper Based-Transfemoral Prosthetic LegIEEE Transactions on Artificial Intelligence10.1109/TAI.2021.31068843:1(53-66)Online publication date: Feb-2022
https://doi.org/10.1109/TAI.2021.3106884
Nobahari HNasrollahi S(2019)A non-linear estimation and model predictive control algorithm based on ant colony optimizationTransactions of the Institute of Measurement and Control10.1177/014233121879868041:4(1123-1138)Online publication date: 25-Feb-2019
https://doi.org/10.1177/0142331218798680

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Particle swarm optimizer, ant colony strategy and harmony search scheme hybridized for optimization of truss structures

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