title: Parameter estimation for a dual-rate system with time delay.
abstract: This paper investigates the parameter estimation problem of the dual-rate system with time delay. The slow-rate model of the dual-rate system with time delay is derived by using the discretization technique. The parameters and states of the system are simultaneously estimated. The states are estimated by using the Kalman filter, and the parameters are estimated based on the stochastic gradient algorithm or the recursive least squares algorithm. When concerning state estimate of the dual-rate system with time delay, the state augmentation method is employed with lower computational load than that of the conventional one. Simulation examples and an experimental study are given to illustrate the proposed algorithm.
authors: Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Institute of Automation, Jiangnan University, Wuxi 214122, PR China; Department of Chemical and Materials Engineering, University of Alberta, Edmonton, Canada AB T6G 2G6. Electronic address: lchen1@ualberta.ca.
authors: Lei
authors: L
authors: Chen
authors: Department of Chemical and Materials Engineering, University of Alberta, Edmonton, Canada AB T6G 2G6. Electronic address: lilihan77@gmail.com.
authors: Lili
authors: L
authors: Han
authors: Department of Chemical and Materials Engineering, University of Alberta, Edmonton, Canada AB T6G 2G6. Electronic address: biao.huang@ualberta.ca.
authors: Biao
authors: B
authors: Huang
authors: Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Institute of Automation, Jiangnan University, Wuxi 214122, PR China. Electronic address: fliu@jiangnan.edu.cn.
authors: Fei
authors: F
authors: Liu
keywords: Dual-rate; Kalman filter; Least squares; Parameter estimation; Stochastic gradient; Time delay