Identification of continuous-time linear systems with time-delay

作者: M. M'SAAD , M. FARZA

DOI: 10.3182/20090706-3-FR-2004.00149

关键词:

摘要: This paper addresses the identification problem of time-delay linear continuous-time systems. More specifically, involved parameters and are jointly estimated using a suitable adaptive observer. The latter heavily borrows from high gain observer design that has been widely investigated throughout last decade. Global exponential convergence time delay estimates to their trues values is established under an appropriate persistent excitation property. performance proposed approach demonstrated by simulation study involving academic example.

参考文章(32)
Peter C. Young, Optimal IV identification and estimation of continuous-time TF models IFAC Proceedings Volumes. ,vol. 35, pp. 109- 114 ,(2002) , 10.3182/20020721-6-ES-1901.01004
Qinghua Zhang, A. Clavel, Adaptive observer with exponential forgetting factor for linear time varying systems Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228). ,vol. 4, pp. 3886- 3891 ,(2001) , 10.1109/CDC.2001.980478
S. Bjorklund, Lennart Ljung, A review of time-delay estimation techniques conference on decision and control. ,vol. 3, pp. 2502- 2507 ,(2003) , 10.1109/CDC.2003.1272997
M. Farza, M. M’Saad, T. Maatoug, M. Kamoun, Brief paper: Adaptive observers for nonlinearly parameterized class of nonlinear systems Automatica. ,vol. 45, pp. 2292- 2299 ,(2009) , 10.1016/J.AUTOMATICA.2009.06.008
M. Farza, H. Hammouri, C. Jallut, J. Lieto, State observation of a nonlinear system: Application to (bio)chemical processes Aiche Journal. ,vol. 45, pp. 93- 106 ,(1999) , 10.1002/AIC.690450109
R. Johansson, Identification of continuous-time models IEEE Transactions on Signal Processing. ,vol. 42, pp. 887- 897 ,(1994) , 10.1109/78.285652
Peter Young, Parameter estimation for continuous-time models-A survey Automatica. ,vol. 17, pp. 23- 39 ,(1981) , 10.1016/0005-1098(81)90082-0
Hassan Hammouri, M. Farza, Nonlinear observers for locally uniformly observable systems ESAIM: Control, Optimisation and Calculus of Variations. ,vol. 9, pp. 353- 370 ,(2003) , 10.1051/COCV:2003017