Computational Adaptive Optimal Control with an Application to Blood Glucose Regulation in Type 1 Diabetics
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.
Optimal adaptive control linear quadratic regulator (LQR) blood glucose regulation
Yu Jiang Zhong-Ping Jiang
Department of Electrical and Computer Engineering, Polytechnic Institute of New York University, Brooklyn, NY 11201, USA
国际会议
The 31st Chinese Control Conference(第三十一届中国控制会议)
合肥
英文
2938-2943
2012-07-01（万方平台首次上网日期，不代表论文的发表时间）