Application of Robust Fixed Point Control in Case of T1DM

Gyorgy Eigner, Peter Horvath, J. Tar, I. Rudas, L. Kovács

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

In the manufacturing sector, energy demand is not considered as a manufacturing process variable when devising production schedules. This presents the potential for a large variance in the energy consumption culminating from the summation of individual machine energy demands. If not controlled, this can result in damage to the local power infrastructure. Traditional methods for protecting against this involve costly enhancements to the power infrastructure or inefficient use of time and equipment. In this paper, a production schedule modification algorithm is presented. Through the utilization of a genetic algorithm and highly granular historical energy profiles, the optimizer is able to modify an existing production schedule such that it produces a minimal variance in energy consumption when executed. Testing and experimentation show that a significant reduction in energy consumption variance can be achieved while ensuring the schedule operates within the constraints specified by the manufacturer Energy Consumption Prediction, Energy Consumption Variance, Energy Usage in Manufacturing, Genetic Algorithm.

Original languageEnglish
Title of host publicationProceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2459-2464
Number of pages6
ISBN (Print)9781479986965
DOIs
Publication statusPublished - Jan 12 2016
EventIEEE International Conference on Systems, Man, and Cybernetics, SMC 2015 - Kowloon Tong, Hong Kong
Duration: Oct 9 2015Oct 12 2015

Other

OtherIEEE International Conference on Systems, Man, and Cybernetics, SMC 2015
CountryHong Kong
CityKowloon Tong
Period10/9/1510/12/15

Fingerprint

Energy utilization
Genetic algorithms
Fixed point
Energy consumption
Schedule
Testing
Genetic algorithm
Energy
Energy demand

Keywords

  • Control of Diabetes
  • RFPT
  • Robust Fixed-Point Transformation
  • T1DM

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Energy Engineering and Power Technology
  • Information Systems and Management
  • Control and Systems Engineering

Cite this

Eigner, G., Horvath, P., Tar, J., Rudas, I., & Kovács, L. (2016). Application of Robust Fixed Point Control in Case of T1DM. In Proceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015 (pp. 2459-2464). [7379562] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SMC.2015.430

Application of Robust Fixed Point Control in Case of T1DM. / Eigner, Gyorgy; Horvath, Peter; Tar, J.; Rudas, I.; Kovács, L.

Proceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015. Institute of Electrical and Electronics Engineers Inc., 2016. p. 2459-2464 7379562.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Eigner, G, Horvath, P, Tar, J, Rudas, I & Kovács, L 2016, Application of Robust Fixed Point Control in Case of T1DM. in Proceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015., 7379562, Institute of Electrical and Electronics Engineers Inc., pp. 2459-2464, IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015, Kowloon Tong, Hong Kong, 10/9/15. https://doi.org/10.1109/SMC.2015.430
Eigner G, Horvath P, Tar J, Rudas I, Kovács L. Application of Robust Fixed Point Control in Case of T1DM. In Proceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 2459-2464. 7379562 https://doi.org/10.1109/SMC.2015.430
Eigner, Gyorgy ; Horvath, Peter ; Tar, J. ; Rudas, I. ; Kovács, L. / Application of Robust Fixed Point Control in Case of T1DM. Proceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 2459-2464
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