TY - GEN
T1 - An efficient indirect identification method for feedback control system
AU - Jia, Li Juan
AU - Tao, Ran
AU - Wang, Yue
AU - Kanae, Shunshoku
AU - Yang, Zi Jiang
AU - Wada, Kiyoshi
PY - 2008
Y1 - 2008
N2 - In many cases it is not possible to remove the feedback during an identification experiment because this may lead to instability. The feedback may also be inherent in many dynamic systems (e.g., economical, biological). In this paper we shall consider the problem of identification of dynamic systems operating under feedback control and propose an indirect approach to closed-loop system identification based on the bias-compensation principle. The main feature of the proposed method is that introductions of auxiliary vector and matrix are helpful to find an approach to estimating the noise-output correlated variance. Therefore via compensating the consistent bias of LS estimate, the consistent estimates for closed-loop system can be given.
AB - In many cases it is not possible to remove the feedback during an identification experiment because this may lead to instability. The feedback may also be inherent in many dynamic systems (e.g., economical, biological). In this paper we shall consider the problem of identification of dynamic systems operating under feedback control and propose an indirect approach to closed-loop system identification based on the bias-compensation principle. The main feature of the proposed method is that introductions of auxiliary vector and matrix are helpful to find an approach to estimating the noise-output correlated variance. Therefore via compensating the consistent bias of LS estimate, the consistent estimates for closed-loop system can be given.
UR - https://www.scopus.com/pages/publications/49249122186
U2 - 10.1109/ICNSC.2008.4525174
DO - 10.1109/ICNSC.2008.4525174
M3 - Conference contribution
AN - SCOPUS:49249122186
SN - 9781424416851
T3 - Proceedings of 2008 IEEE International Conference on Networking, Sensing and Control, ICNSC
SP - 13
EP - 18
BT - Proceedings of 2008 IEEE International Conference on Networking, Sensing and Control, ICNSC
T2 - 2008 IEEE International Conference on Networking, Sensing and Control, ICNSC
Y2 - 6 April 2008 through 8 April 2008
ER -