Indirect Iterative Learning Control: Application on Artificial Pancreatic β-Cell

摘要：

Most existing iterative learning control (ILC) algorithms work in direct pattern; while indirect ILC is an open problem. In this paper, model predictive control (MPC) is chosen as the local controller for processes and ILC is used to update the setpoint for MPC; this novel combination belongs to indirect ILC and is named ILC-based MPC in this paper. Indirect ILC has revealed some advantages compared to direct ILC. The proposed algorithm is validated in artificial pancreatic cell and the simulation results verify the effectiveness and excellence of this method.

关键词： iterative learning control model predictive control indirect pattern glucose control

作者: Youqing Wang Francis J. Doyle III

作者单位: Department of Chemical Engineering, University of California, Santa Barbara, CA 93106, United States Biomolecular Science & Engineering Program, University of California, Santa Barbara, CA 93106, United States Sansum Diabetes Research Institute, Santa Bar

会议类型: 国际会议

会议名称: 2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)

会议地点: 广西桂林

会议语种:英文

页码: 1728-1733

在线出版日期: 2009-06-17（万方平台首次上网日期，不代表论文的发表时间）