Computational adaptive optimal control with an application to blood glucose regulation in type 1 diabetics

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

Abstract

This paper presents an online policy iteration approach for finding optimal controllers for continuous-time linear systems with completely unknown dynamics, via adaptive/approximate dynamic programming. Using the proposed scheme, the a priori knowledge of the system matrices is not required, and all iterations can be conducted by using repeatedly the same state and input information collected on some fixed finite time-intervals. A practical computational adaptive optimal control algorithm is developed in this paper, and is applied to the optimal blood glucose regulation problem in type 1 diabetics.

Original languageEnglish (US)
Title of host publicationProceedings of the 31st Chinese Control Conference, CCC 2012
Pages2938-2943
Number of pages6
StatePublished - 2012
Event31st Chinese Control Conference, CCC 2012 - Hefei, China
Duration: Jul 25 2012Jul 27 2012

Publication series

NameChinese Control Conference, CCC
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Other

Other31st Chinese Control Conference, CCC 2012
CountryChina
CityHefei
Period7/25/127/27/12

Keywords

  • Optimal adaptive control
  • blood glucose regulation
  • linear quadratic regulator (LQR)

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Systems Engineering
  • Applied Mathematics
  • Modeling and Simulation

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