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2019 | OriginalPaper | Buchkapitel

5. Model Predictive Controller using Interior Point and Ant Algorithm

verfasst von : Yvonne Ho

Erschienen in: Patient-Specific Controller for an Implantable Artificial Pancreas

Verlag: Springer Singapore

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Abstract

This chapter presents an adaption of the Ant System for implementing the optimization routine of the Model Predictive Controller. A hybrid optimization scheme for Model Predictive Control (MPC) is also proposed, comprising both Primal-Dual Interior-Point (PDIP) method used in [1] and the search heuristic based Ant System optimization methods developed in this chapter.

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Literatur
1.
Zurück zum Zitat B.P. Nguyen, Y. Ho, Z. Wu, C.-K. Chui, Implementation of model predictive control with modified minimal model on low-power risc microcontrollers, in Proceedings of the Third Symposium on Information and Communication Technology, ser. SoICT ’12 (ACM, 2012), pp. 165–171 B.P. Nguyen, Y. Ho, Z. Wu, C.-K. Chui, Implementation of model predictive control with modified minimal model on low-power risc microcontrollers, in Proceedings of the Third Symposium on Information and Communication Technology, ser. SoICT ’12 (ACM, 2012), pp. 165–171
2.
Zurück zum Zitat L. Wang, Model Predictive Control System Design and Implementation Using Matlab (Springer, 2009) L. Wang, Model Predictive Control System Design and Implementation Using Matlab (Springer, 2009)
3.
Zurück zum Zitat S. Mehrotra, On the implementation of a primal-dual interior point method. Siam J. Opt. 2(4), 575–601 (1992)MathSciNetCrossRef S. Mehrotra, On the implementation of a primal-dual interior point method. Siam J. Opt. 2(4), 575–601 (1992)MathSciNetCrossRef
4.
Zurück zum Zitat S.J. Wright, Primal-Dual Interior-Point Methods (SIAM, 1997) S.J. Wright, Primal-Dual Interior-Point Methods (SIAM, 1997)
5.
Zurück zum Zitat Y. Ye, M.J. Todd, S. Mizuno, An o (sqrt(n)l)-iteration homogeneous and self-dual linear programming algorithm. Math. Op. Res. 19(1), 53–67 (1994)CrossRef Y. Ye, M.J. Todd, S. Mizuno, An o (sqrt(n)l)-iteration homogeneous and self-dual linear programming algorithm. Math. Op. Res. 19(1), 53–67 (1994)CrossRef
6.
Zurück zum Zitat M. Dorigo, V. Maniezzo, A. Colorni, Ant system: optimization by a colony of cooperating agents. IEEE Trans. Syst. Man Cybern. Part B (Cybernetics) 26(1), 29–41 (1996)CrossRef M. Dorigo, V. Maniezzo, A. Colorni, Ant system: optimization by a colony of cooperating agents. IEEE Trans. Syst. Man Cybern. Part B (Cybernetics) 26(1), 29–41 (1996)CrossRef
7.
Zurück zum Zitat Guidelines for the use of the C language in critical systems (MISRA, Mar 2013) Guidelines for the use of the C language in critical systems (MISRA, Mar 2013)
8.
Zurück zum Zitat R.N. Bergman, L.S. Phillips, C. Cobelli, Physiologic evaluation of factors controlling glucose tolerance in man measurement of insulin sensitivity and beta-cell glucose sensitivity from the response to intravenous glucose. J. Clin. Invest. 68(6), 1456–1467 (1981)CrossRef R.N. Bergman, L.S. Phillips, C. Cobelli, Physiologic evaluation of factors controlling glucose tolerance in man measurement of insulin sensitivity and beta-cell glucose sensitivity from the response to intravenous glucose. J. Clin. Invest. 68(6), 1456–1467 (1981)CrossRef
9.
Zurück zum Zitat R.N. Bergman, Minimal model: perspective from 2005. Hormone Res. Paediatr. 64(Suppl. 3), 8–15 (2006)MathSciNet R.N. Bergman, Minimal model: perspective from 2005. Hormone Res. Paediatr. 64(Suppl. 3), 8–15 (2006)MathSciNet
10.
Zurück zum Zitat M. Fisher, A semiclosed-loop algorithm for the control of blood glucose levels in diabetics. IEEE Trans. Bio-Med. Eng. 38(1), 57–61 (1991)CrossRef M. Fisher, A semiclosed-loop algorithm for the control of blood glucose levels in diabetics. IEEE Trans. Bio-Med. Eng. 38(1), 57–61 (1991)CrossRef
11.
Zurück zum Zitat S. Lynch, B. Bequette, Model predictive control of blood glucose in type i diabetics using subcutaneous glucose measurements, in Proceedings of the 2002 American Control Conference, vol. 5 (2002), pp. 4039–4043 S. Lynch, B. Bequette, Model predictive control of blood glucose in type i diabetics using subcutaneous glucose measurements, in Proceedings of the 2002 American Control Conference, vol. 5 (2002), pp. 4039–4043
12.
Zurück zum Zitat C. Dalla Man, R.A. Rizza, C. Cobelli, Meal simulation model of the glucose-insulin system. IEEE Trans. Biomed. Eng. 54(10), 1740–1749 (2007)CrossRef C. Dalla Man, R.A. Rizza, C. Cobelli, Meal simulation model of the glucose-insulin system. IEEE Trans. Biomed. Eng. 54(10), 1740–1749 (2007)CrossRef
13.
Zurück zum Zitat C. Dalla Man, D.M. Raimondo, R.A. Rizza, C. Cobelli, GIM, simulation software of meal glucose-insulin model. J. Diabetes Sci. Technol. 1(3), 323–330 (2007)CrossRef C. Dalla Man, D.M. Raimondo, R.A. Rizza, C. Cobelli, GIM, simulation software of meal glucose-insulin model. J. Diabetes Sci. Technol. 1(3), 323–330 (2007)CrossRef
14.
Zurück zum Zitat L. Bleris, M. Kothare, Real-time implementation of model predictive control, in 2005 American Control Conference, vol. 6 (Portland, OR, USA, Aug 2005), pp. 4166–4171 L. Bleris, M. Kothare, Real-time implementation of model predictive control, in 2005 American Control Conference, vol. 6 (Portland, OR, USA, Aug 2005), pp. 4166–4171
15.
Zurück zum Zitat L.G. Bleris, M.V. Kothare, Implementation of model predictive control for glucose regulation on a general purpose microprocessor, in Proceedings of the 44th IEEE Conference on Decision and Control (Seville, Spain, Dec 2005), pp. 5162–5167 L.G. Bleris, M.V. Kothare, Implementation of model predictive control for glucose regulation on a general purpose microprocessor, in Proceedings of the 44th IEEE Conference on Decision and Control (Seville, Spain, Dec 2005), pp. 5162–5167
16.
Zurück zum Zitat A.K. Abbes, F. Bouani, M. Ksouri, A microcontroller implementation of constrained model predictive control. Int. J. Electr. Electr. Eng. 5(3), 199–206 (2006) A.K. Abbes, F. Bouani, M. Ksouri, A microcontroller implementation of constrained model predictive control. Int. J. Electr. Electr. Eng. 5(3), 199–206 (2006)
17.
Zurück zum Zitat L. Magni, D.M. Raimondo, C.D. Man, M. Breton, S. Patek, G. De Nicolao, C. Cobelli, B.P. Kovatchev, Evaluating the efficacy of closed-loop glucose regulation via control-variability grid analysis. J. Diabetes Sci. Technol. 2(4), 630–635 (2008)CrossRef L. Magni, D.M. Raimondo, C.D. Man, M. Breton, S. Patek, G. De Nicolao, C. Cobelli, B.P. Kovatchev, Evaluating the efficacy of closed-loop glucose regulation via control-variability grid analysis. J. Diabetes Sci. Technol. 2(4), 630–635 (2008)CrossRef
Metadaten
Titel
Model Predictive Controller using Interior Point and Ant Algorithm
verfasst von
Yvonne Ho
Copyright-Jahr
2019
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-13-2402-4_5

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