Abstract
In this paper, two approaches are developed for directly identifying single-rate models of dual-rate stochastic systems in which the input updating frequency is an integer multiple of the output sampling frequency. The first is the generalized Yule-Walker algorithm and the second is a two-stage algorithm based on the correlation technique. The basic idea is to directly identify the parameters of underlying single-rate models instead of the lifted models of dual-rate systems from the dual-rate input-output data, assuming that the measurement data are stationary and ergodic. An example is given.
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F. Ding, T. Chen. Performance bounds of forgetting factor least squares algorithm for time-varying systems with finite measurement data[J]. IEEE Trans. on Circuits and Systems-I: Regular Papers, 2005, 52(3): 555–566.
F. Ding, T. Chen. Identification of Hammerstein nonlinear ARMAX systems[J]. Automatica, 2005, 41(9): 1479–1489.
F. Ding, Y. shi, T. Chen. Performance analysis of estimation algorithms of non-stationary ARMA processes[J]. IEEE Trans. on Signal Processing, 2006, 54(3): 1041–1053.
F. Ding, T. Chen, L. Qiu. Bias compensation based recursive least squares identification algorithm for MISO systems[J]. IEEE Trans. on Circuits and Systems-II: Express Briefs, 2006, 53(5): 349–353.
F. Ding, T. Chen. Modeling and identification for multirate systems[J]. Acta Automatica Sinica, 2005, 31(1): 105–122.
F. Ding, T. Chen, D. Xiao. State-space modeling and identification for general dual-rate stochastic systems[J]. Acta Automatica Sinica, 2004, 30(5): 652–663.
F. Ding, T. Chen, D. Xiao. Identification of non-uniformly periodically sampled multirate systems[J]. Acta Electronica Sinica, 2004, 32(9): 1414–1420.
R. D. Gudi, S. L. Shah, M. R. Gray. Multirate state and parameter estimation in an antibiotic fermentation with delayed measurements[J]. Biotechnology and Bioengineering, 1994, 44(12): 1271–1278.
D. Li, S. L. Shah, T. Chen, K. Z. Qi. Application of dual-rate modeling to CCR octane quality inferential control[J]. IEEE Trans. on Control Systems Technology, 2003, 11(1): 43–51.
J. Sheng, T. Chen, S. L. Shah. Generalized predictive control for non-uniformly sampled systems[J]. J. of Process Control, 2002, 12(8): 875–885.
D. Li, S. L. Shah, T. Chen. Analysis of dual-rate inferential control systems[J]. Automatica, 2002, 38(6): 1053–1059.
T. Chen, L. Qiu. H ∞ design of general multirate sampled-data control systems[J]. Automatica, 1994, 30(7): 1139–1152.
L. Qiu, T. Chen. Multirate sampled-data systems: all H ∞ suboptimal controllers and the minimum entropy controller[J]. IEEE Trans. on Automatic Control, 1999, 44(3): 537–550.
F. Ding, T. Chen. Least squares based self-tuning control of dual-rate systems[J]. Int. J. of Adaptive Control and Signal Processing, 2004, 18(8): 697–714.
D. Li, S. L. Shah, T. Chen. Identification of fast-rate models from multirate data[J]. Int. J. of Control, 2001, 74(7): 680–689.
F. Ding, T. Chen. Hierarchical identification of lifted state-space models for general dual-rate systems[J]. IEEE Trans. on Circuits and Systems-I: Regular Papers, 2005, 52(6): 1179–1187.
F. Ding, T. Chen. Parameter identification and intersample output estimation of a class of dual-rate systems[C] // Proc. of the 42nd IEEE Conf. on Decision and Control (CDC), Hawaii, USA, December 9–12, 2003: 5555–5560.
F. Ding, T. Chen. Parameter estimation for dual-rate systems with finite measurement data[J]. Dynamics of Continuous, Discrete and Impulsive Systems, Series B: Applications & Algorithms, 2004, 11(1): 101–121.
F. Ding, T. Chen. Hierarchical gradient-based identification of multivariable discrete-time systems[J]. Automatica, 2004, 41(2): 315–325.
F. Ding, T. Chen. Hierarchical least squares identification methods for multivariable systems[J]. IEEE Trans. on Automatic Control, 2005, 50(3): 397–402.
F. Ding, T. Chen. Gradient based iterative algorithms for solving a class of matrix equations[J]. IEEE Trans. on Automatic Control, 2005, 50(8): 1216–1221.
F. Ding, T. Chen. Iterative least squares solutions of coupled Sylvester matrix equations[J]. Systems & Control Letters, 2005, 54(2): 95–107.
F. Ding, T. Chen. On iterative solutions of general coupled matrix equations[J]. SIAM J. on Control and Optimization, 2006, 44(6): 2269–2284.
F. Ding, T. Chen. Combined parameter and output estimation of dual-rate systems using an auxiliary model[J]. Automatica, 2004, 40(10): 1739–1748.
F. Ding, T. Chen. Identification of dual-rate systems based on finite impulse response models[J]. Int. J. of Adaptive Control and Signal Processing, 2004, 18(7): 589–598.
F. Ding, T. Chen. Parameter estimation of dual-rate stochastic systems by using an output error method[J]. IEEE Trans. on Automatic Control, 2005, 50(9): 1436–1441.
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This work was supported by the National Natural Science Foundation of China (No. 60574051).
Feng DING was born in Guangshui, Hubei Province. He received the B.S. degree from the Hubei University of Technology in 1984, and the M.S. and Ph.D. degrees in automatic control both from the Department of Automation, Tsinghua University, Beijing, in 1991 and 1994, respectively. From 1984 to 1988, he was an Electrical Engineer at the Hubei Pharmaceutical Factory, Xiangfan, China. Since 1994 he was with the Department of Automation at the Tsinghua University, Beijing, and he has been a Post-Doctoral Fellow/Research Associate at the University of Alberta, Edmonton, Canada since 2002. He is now with the Control Science and Engineering Research Center at the Southern Yangtze University, Wuxi, China. His current research interests include model identification and adaptive control. He co-authored the book “Adaptive Control Systems” (Tsinghua University Press, Beijing, 2002), and published over 60 Journal papers on modeling and identification as the first author.
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Ding, F. Generalized Yule-walker and two-stage identification algorithms for dual-rate systems. J. Control Theory Appl. 4, 338–342 (2006). https://doi.org/10.1007/s11768-006-5084-5
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DOI: https://doi.org/10.1007/s11768-006-5084-5