TY - GEN
T1 - Computational adaptive optimal control with an application to blood glucose regulation in type 1 diabetics
AU - Jiang, Yu
AU - Jiang, Zhong Ping
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
KW - Optimal adaptive control
KW - blood glucose regulation
KW - linear quadratic regulator (LQR)
UR - http://www.scopus.com/inward/record.url?scp=84873546638&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84873546638&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84873546638
SN - 9789881563811
T3 - Chinese Control Conference, CCC
SP - 2938
EP - 2943
BT - Proceedings of the 31st Chinese Control Conference, CCC 2012
T2 - 31st Chinese Control Conference, CCC 2012
Y2 - 25 July 2012 through 27 July 2012
ER -