Adaptive robotic interceptions of moving targets with a target motion estimation-based visual tracking controller

Yushing Cheung, James Jenn-Jier Lien, Ya Ting Huang

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

Abstract

Adaptive, model-free control of Type 1 Diabetes Mellitus (T1DM) is a lack in the field of diabetes control, since, most of the applied control strategies are model-based ones. The main problem is that difficult to formulate exact mathematical models to replicate the physiological processes, not just because of their behavior, rather then these processes are changing patient-by-patient. Furthermore, the developed models so far, are highly non-linear and difficult to manage. A possible adaptive control solution can be the recently developed Robust Fixed Point Transformation (RFPT)-based control design method, which can provide control action, based on the observations about the actual output of a controlled system. In this paper we show a survey, how can be used this novel technique related with a known, high order glucose-insulin model, to investigate the usability according to diabetes control.

Original languageEnglish
Title of host publicationProceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages451-456
Number of pages6
ISBN (Electronic)9781479986965
DOIs
Publication statusPublished - 2016 Jan 12
EventIEEE International Conference on Systems, Man, and Cybernetics, SMC 2015 - Kowloon Tong, Hong Kong
Duration: 2015 Oct 92015 Oct 12

Publication series

NameProceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015

Other

OtherIEEE International Conference on Systems, Man, and Cybernetics, SMC 2015
CountryHong Kong
CityKowloon Tong
Period15-10-0915-10-12

Fingerprint

Motion estimation
Robotics
Controllers
Medical problems
Insulin
Controller
Glucose
Mathematical models
Diabetes

All Science Journal Classification (ASJC) codes

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

Cite this

Cheung, Y., Lien, J. J-J., & Huang, Y. T. (2016). Adaptive robotic interceptions of moving targets with a target motion estimation-based visual tracking controller. In Proceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015 (pp. 451-456). [7379222] (Proceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SMC.2015.90
Cheung, Yushing ; Lien, James Jenn-Jier ; Huang, Ya Ting. / Adaptive robotic interceptions of moving targets with a target motion estimation-based visual tracking controller. Proceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 451-456 (Proceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015).
@inproceedings{7a2bd87c7c804528a09cc6065daf1ee2,
title = "Adaptive robotic interceptions of moving targets with a target motion estimation-based visual tracking controller",
abstract = "Adaptive, model-free control of Type 1 Diabetes Mellitus (T1DM) is a lack in the field of diabetes control, since, most of the applied control strategies are model-based ones. The main problem is that difficult to formulate exact mathematical models to replicate the physiological processes, not just because of their behavior, rather then these processes are changing patient-by-patient. Furthermore, the developed models so far, are highly non-linear and difficult to manage. A possible adaptive control solution can be the recently developed Robust Fixed Point Transformation (RFPT)-based control design method, which can provide control action, based on the observations about the actual output of a controlled system. In this paper we show a survey, how can be used this novel technique related with a known, high order glucose-insulin model, to investigate the usability according to diabetes control.",
author = "Yushing Cheung and Lien, {James Jenn-Jier} and Huang, {Ya Ting}",
year = "2016",
month = "1",
day = "12",
doi = "10.1109/SMC.2015.90",
language = "English",
series = "Proceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "451--456",
booktitle = "Proceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015",
address = "United States",

}

Cheung, Y, Lien, JJ-J & Huang, YT 2016, Adaptive robotic interceptions of moving targets with a target motion estimation-based visual tracking controller. in Proceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015., 7379222, Proceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015, Institute of Electrical and Electronics Engineers Inc., pp. 451-456, IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015, Kowloon Tong, Hong Kong, 15-10-09. https://doi.org/10.1109/SMC.2015.90

Adaptive robotic interceptions of moving targets with a target motion estimation-based visual tracking controller. / Cheung, Yushing; Lien, James Jenn-Jier; Huang, Ya Ting.

Proceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015. Institute of Electrical and Electronics Engineers Inc., 2016. p. 451-456 7379222 (Proceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015).

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

TY - GEN

T1 - Adaptive robotic interceptions of moving targets with a target motion estimation-based visual tracking controller

AU - Cheung, Yushing

AU - Lien, James Jenn-Jier

AU - Huang, Ya Ting

PY - 2016/1/12

Y1 - 2016/1/12

N2 - Adaptive, model-free control of Type 1 Diabetes Mellitus (T1DM) is a lack in the field of diabetes control, since, most of the applied control strategies are model-based ones. The main problem is that difficult to formulate exact mathematical models to replicate the physiological processes, not just because of their behavior, rather then these processes are changing patient-by-patient. Furthermore, the developed models so far, are highly non-linear and difficult to manage. A possible adaptive control solution can be the recently developed Robust Fixed Point Transformation (RFPT)-based control design method, which can provide control action, based on the observations about the actual output of a controlled system. In this paper we show a survey, how can be used this novel technique related with a known, high order glucose-insulin model, to investigate the usability according to diabetes control.

AB - Adaptive, model-free control of Type 1 Diabetes Mellitus (T1DM) is a lack in the field of diabetes control, since, most of the applied control strategies are model-based ones. The main problem is that difficult to formulate exact mathematical models to replicate the physiological processes, not just because of their behavior, rather then these processes are changing patient-by-patient. Furthermore, the developed models so far, are highly non-linear and difficult to manage. A possible adaptive control solution can be the recently developed Robust Fixed Point Transformation (RFPT)-based control design method, which can provide control action, based on the observations about the actual output of a controlled system. In this paper we show a survey, how can be used this novel technique related with a known, high order glucose-insulin model, to investigate the usability according to diabetes control.

UR - http://www.scopus.com/inward/record.url?scp=84964426754&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84964426754&partnerID=8YFLogxK

U2 - 10.1109/SMC.2015.90

DO - 10.1109/SMC.2015.90

M3 - Conference contribution

T3 - Proceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015

SP - 451

EP - 456

BT - Proceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Cheung Y, Lien JJ-J, Huang YT. Adaptive robotic interceptions of moving targets with a target motion estimation-based visual tracking controller. In Proceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 451-456. 7379222. (Proceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015). https://doi.org/10.1109/SMC.2015.90