Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5004697 | ISA Transactions | 2014 | 9 Pages |
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.
Related Topics
Physical Sciences and Engineering
Engineering
Control and Systems Engineering
Authors
Lei Chen, Lili Han, Biao Huang, Fei Liu,