Abstract
This paper derives a state estimation based parameter identification algorithm for state space systems with a one-unit state delay. We derive the identification model of an observability canonical state space system with a one-unit state delay. The key is to replace the unknown states in the parameter estimation algorithm with their state estimates and to identify the parameters of the state space models. Finally, two illustrative examples are given to show the effectiveness of the proposed algorithm.
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H.I. Ashiba, K.H. Awadalla, S.M. El-Halfawy, Adaptive least squares interpolation of infrared images. Circuits Syst. Signal Process. 30(3), 543–551 (2011)
F. Ding, Several multi-innovation identification methods. Digit. Signal Process. 20(4), 1027–1039 (2010)
F. Ding, System Identification—New Theory and Methods (Science Press, Beijing, 2013)
F. Ding, Hierarchical multi-innovation stochastic gradient algorithm for Hammerstein nonlinear system modeling. Appl. Math. Model. 37(4), 1694–1704 (2013)
F. Ding, Decomposition based fast least squares algorithm for output error systems. Signal Process. 93(5), 1235–1242 (2013)
F. Ding, Coupled-least-squares identification for multivariable systems. IET Control Theory Appl. 7 (2013). doi:10.1049/iet-cta.2012.0171
F. Ding, Two-stage least squares based iterative estimation algorithm for CARARMA system modeling. Appl. Math. Model. 37(7), 4798–4808 (2013)
F. Ding, T. Chen, Hierarchical gradient-based identification of multivariable discrete-time systems. Automatica 41(2), 315–325 (2005)
F. Ding, T. Chen, Hierarchical least squares identification methods for multivariable systems. IEEE Trans. Autom. Control 50(3), 397–402 (2005)
F. Ding, T. Chen, Hierarchical identification of lifted state-space models for general dual-rate systems. IEEE Trans. Circuits Syst. I, Regul. Pap. 52(6), 1179–1187 (2005)
F. Ding, T. Chen, Performance analysis of multi-innovation gradient type identification methods. Automatica 43(1), 1–14 (2007)
F. Ding, J. Ding, Least squares parameter estimation with irregularly missing data. Int. J. Adapt. Control Signal Process. 24(7), 540–553 (2010)
F. Ding, Y. Gu, Performance analysis of the auxiliary model based least squares identification algorithm for one-step state delay systems. Int. J. Comput. Math. 89(15), 2019–2028 (2012)
F. Ding, Y. Gu, Performance analysis of the auxiliary model-based stochastic gradient parameter estimation algorithm for state space systems with one-step state delay. Circuits Syst. Signal Process. 32 (2013). doi:10.1007/s00034-012-9463-5
F. Ding, X.P. Liu, H.Z. Yang, Parameter identification and intersample output estimation for dual-rate systems. IEEE Trans. Syst. Man Cybern., Part A, Syst. Hum. 38(4), 966–975 (2008)
F. Ding, X.P. Liu, G. Liu, Auxiliary model based multi-innovation extended stochastic gradient parameter estimation with colored measurement noises. Signal Process. 89(10), 1883–1890 (2009)
F. Ding, L. Qiu, T. Chen, Reconstruction of continuous-time systems from their non-uniformly sampled discrete-time systems. Automatica 45(2), 324–332 (2009)
F. Ding, X.P. Liu, G. Liu, Multi-innovation least squares identification for linear and pseudo-linear regression models. IEEE Trans. Syst. Man Cybern., Part B, Cybern. 40(3), 767–778 (2010)
F. Ding, X.P. Liu, G. Liu, Gradient based and least-squares based iterative identification methods for OE and OEMA systems. Digit. Signal Process. 20(3), 664–677 (2010)
F. Ding, G. Liu, X.P. Liu, Partially coupled stochastic gradient identification methods for non-uniformly sampled systems. IEEE Trans. Autom. Control 55(8), 1976–1981 (2010)
J. Ding, Y. Shi et al., A modified stochastic gradient based parameter estimation algorithm for dual-rate sampled-data systems. Digit. Signal Process. 20(4), 1238–1249 (2010)
F. Ding, X.P. Liu, G. Liu, Identification methods for Hammerstein nonlinear systems. Digit. Signal Process. 21(2), 215–238 (2011)
F. Ding, G. Liu, X.P. Liu, Parameter estimation with scarce measurements. Automatica 47(8), 1646–1655 (2011)
F. Ding, Y.J. Liu, B. Bao, Gradient based and least squares based iterative estimation algorithms for multi-input multi-output systems. Proc. Inst. Mech. Eng., Part I, J. Syst. Control Eng. 226(1), 43–55 (2012)
F. Ding, X.G. Liu, J. Chu, Gradient-based and least-squares-based iterative algorithms for Hammerstein systems using the hierarchical identification principle. IET Control Theory Appl. 7 (2013). doi:10.1049/iet-cta.2012.0313
V. Dua, An artificial neural network approximation based decomposition approach for parameter estimation of system of ordinary differential equations. Comput. Chem. Eng. 35(3), 545–553 (2011)
J. Feng, Z. Wang, M. Zeng, Recursive robust filtering with finite-step correlated process noises and missing measurements. Circuits Syst. Signal Process. 30(6), 1355–1368 (2011)
Y. Gu, F. Ding, Auxiliary model based least squares identification method for a state space model with a unit time-delay. Appl. Math. Model. 36(12), 5773–5779 (2012)
Y. Gu, F. Ding, Parameter estimation for a multivariable state space system with d-step state-delay. J. Franklin Inst. (2013). doi:10.1016/j.jfranklin.2013.01.004
S. Lakshmanan, T. Senthilkumar, P. Balasubramaniam, Improved results on robust stability of neutral systems with mixed time-varying delays and nonlinear perturbations. Appl. Math. Model. 35(11), 5355–5368 (2011)
J.H. Li, F. Ding, Maximum likelihood stochastic gradient estimation for Hammerstein systems with colored noise based on the key term separation technique. Comput. Math. Appl. 62(11), 4170–4177 (2011)
D.F. Li, C.J. Zhang, H.Y. Qin, LDG method for reaction-diffusion dynamical systems with time delay. Appl. Math. Comput. 217(22), 9173–9181 (2011)
J.H. Li, F. Ding, G.W. Yang, Maximum likelihood least squares identification method for input nonlinear finite impulse response moving average systems. Math. Comput. Model. 55(3–4), 442–450 (2012)
X. Liu, J. Lu, Least squares based iterative identification for a class of multirate systems. Automatica 46(3), 549–554 (2010)
Y.J. Liu, Y.S. Xiao, X.L. Zhao, Multi-innovation stochastic gradient algorithm for multiple-input single-output systems using the auxiliary model. Appl. Math. Comput. 215(4), 1477–1483 (2009)
Y.J. Liu, L. Xie et al., An auxiliary model based recursive least squares parameter estimation algorithm for non-uniformly sampled multirate systems. Proc. Inst. Mech. Eng., Part I, J. Syst. Control Eng. 223(4), 445–454 (2009)
Y.J. Liu, J. Sheng, R.F. Ding, Convergence of stochastic estimation gradient algorithm for multivariable ARX-like systems. Comput. Math. Appl. 59(8), 2615–2627 (2010)
Y.J. Liu, L. Yu et al., Multi-innovation extended stochastic gradient algorithm and its performance analysis. Circuits Syst. Signal Process. 29(4), 649–667 (2010)
X.G. Liu, Y.X. Zhou et al., High-purity control of internal thermally coupled distillation columns based on nonlinear wave model. J. Process Control 21(6), 920–926 (2011)
Y.J. Liu, F. Ding, Y. Shi, Least squares estimation for a class of non-uniformly sampled systems based on the hierarchical identification principle. Circuits Syst. Signal Process. 31(6), 1985–2000 (2012)
J.R. McCusker, T. Currier, K. Danai, Improved parameter estimation by noise compensation in the time-scale domain. Signal Process. 91(1), 72–84 (2011)
M.C. Oliveira, R.R. Bitmead, High-fidelity modulation parameter estimation of non-cooperative transmitters: Carrier frequency. Digit. Signal Process. 21(5), 632–637 (2011)
R.O. Preda, D.N. Vizireanu, A robust digital watermarking scheme for video copyright protection in the wavelet domain. Measurement 43(10), 1720–1726 (2010)
R.O. Preda, D.N. Vizireanu, Robust wavelet-based video watermarking scheme for copyright protection using the human visual system. J. Electron. Imaging 20(1) (2011)
R.O. Preda, D.N. Vizireanu, Quantization based video watermarking in the wavelet domain with spatial and temporal redundancy. Int. J. Electron. 98(3), 393–405 (2011)
E. Saatci, A. Akan, Posterior Cramer–Rao lower bounds for dual Kalman estimation. Digit. Signal Process. 22(1), 47–53 (2012)
Y. Shi, H. Fang, Kalman filter based identification for systems with randomly missing measurements in a network environment. Int. J. Control 83(3), 538–551 (2010)
Y. Shi, B. Yu, Output feedback stabilization of networked control systems with random delays modeled by Markov chains. IEEE Trans. Autom. Control 54(7), 1668–1674 (2009)
Y. Shi, F. Ding, T. Chen, Multirate crosstalk identification in xDSL systems. IEEE Trans. Commun. 54(10), 1878–1886 (2006)
L. Shi, P. Cheng, J.M. Chen, Sensor data scheduling for optimal state estimation with communication energy constraint. Automatica 47(8), 1693–1698 (2011)
A.K. Tanc, A.H. Kayran, Maximum entropy power spectrum estimation for 2-D multirate systems. Circuits Syst. Signal Process. 31(1), 271–281 (2012)
R.M. Udrea, D.N. Vizireanu, Quantized multiple sinusoids signal estimation algorithm. J. Instrum. 3 (2008). doi:10.1088/1748-0221/3/02/P02008
D.N. Vizireanu, Quantized sine signals estimation algorithm for portable DSP based instrumentation. Int. J. Electron. 96(11), 1175–1181 (2009)
D.N. Vizireanu, A simple and precise real-time four point single sinusoid signals instantaneous frequency estimation method for portable DSP based instrumentation. Measurement 44(2), 500–502 (2011)
D.N. Vizireanu, S.V. Halunga, Simple, fast and accurate eight points amplitude estimation method of sinusoidal signals for DSP based instrumentation. J. Instrum. 7 (2012). doi:10.1088/1748-0221/7/04/P04001
D.Q. Wang, F. Ding, Input-output data filtering based recursive least squares parameter estimation for CARARMA systems. Digit. Signal Process. 20(4), 991–999 (2010)
D.Q. Wang, F. Ding, Least squares based and gradient based iterative identification for Wiener nonlinear systems. Signal Process. 91(5), 1182–1189 (2011)
C. Wang, Y. Shen, Improved delay-dependent robust stability criteria for uncertain time delay systems. Appl. Math. Comput. 218(6), 2880–2888 (2011)
L.Y. Wang, L. Xie, X.F. Wang, The residual based interactive stochastic gradient algorithms for controlled moving average models. Appl. Math. Comput. 211(2), 442–449 (2009)
D.Q. Wang, Y.Y. Chu et al., Auxiliary model-based recursive generalized least squares parameter estimation for Hammerstein OEAR systems. Math. Comput. Model. 52(1–2), 309–317 (2010)
W. Wang, F. Ding, J.Y. Dai, Maximum likelihood least squares identification for systems with autoregressive moving average noise. Appl. Math. Model. 36(5), 1842–1853 (2012)
Y.S. Xiao, Y. Zhang, J. Ding, J.Y. Dai, The residual based interactive least squares algorithms and simulation studies. Comput. Math. Appl. 58(6), 1190–1197 (2009)
Z.X. Xu, L. Wang, G.R. Chen, Designing delay lines based on the SD/DE algorithm for transmitted-reference ultra-wideband systems. Circuits Syst. Signal Process. 30(6), 1313–1328 (2011)
M. Yan, Y. Shi, Robust discrete-time sliding mode control for uncertain systems with time-varying state delay. IET Control Theory Appl. 2(8), 662–674 (2008)
Y. Zhang, Unbiased identification of a class of multi-input single-output systems with correlated disturbances using bias compensation methods. Math. Comput. Model. 53(9–10), 1810–1819 (2011)
Y. Zhang, G.M. Cui, Bias compensation methods for stochastic systems with colored noise. Appl. Math. Model. 35(4), 1709–1716 (2011)
Acknowledgements
This work was supported by the National Natural Science Foundation of China (No. 61273194), the Natural Science Foundation of Jiangsu Province (China, BK2012549), and the 111 Project (B12018).
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Gu, Y., Lu, X. & Ding, R. Parameter and State Estimation Algorithm for a State Space Model with a One-unit State Delay. Circuits Syst Signal Process 32, 2267–2280 (2013). https://doi.org/10.1007/s00034-013-9569-4
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DOI: https://doi.org/10.1007/s00034-013-9569-4