Parameter estimation for OEMA models with dual-rate input-output data

This paper deals with the parameter estimation problems of the dual-rate sampled-data systems. The output error models with colored noise are considered as the nature models for systems in industries and thus are taken to model the dual-rate sampled-data systems in this paper. The recursive prediction error method is proposed to estimate the parameters directly from the dual-rate sampled data, and an auxiliary model is employed to estimate the noise-free system output. Simulation is given to test and illustrate the proposed algorithm in the paper.

[1]  Shaoyuan Li,et al.  Receding horizon estimation to networked control systems with multirate scheme , 2009, Science in China Series F: Information Sciences.

[2]  Qi Xin Zhu,et al.  Controllability of Multi-Rate Networked Control Systems with Short Time Delay , 2011 .

[3]  Furong Gao,et al.  Multirate dynamic inferential modeling for multivariable processes , 2004 .

[4]  Sirish L. Shah,et al.  Kalman filters in non-uniformly sampled multirate systems: For FDI and beyond , 2008, Autom..

[5]  Feng Ding,et al.  A modified stochastic gradient based parameter estimation algorithm for dual-rate sampled-data systems , 2010, Digit. Signal Process..

[6]  Feng Ding,et al.  Parameter Identification and Intersample Output Estimation for Dual-Rate Systems , 2008, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[7]  Feng Ding,et al.  Multirate crosstalk identification in xDSL systems , 2006, IEEE Transactions on Communications.

[8]  Tongwen Chen,et al.  Identification of dual‐rate systems based on finite impulse response models , 2004 .

[9]  Jixin Qian,et al.  A Two-Stage Method for Identification of Dual-Rate Systems with Fast Input and Very Slow Output , 2009 .

[10]  Yang Shi,et al.  l2–l∞ Filtering for Multirate Systems Based on Lifted Models , 2008 .

[11]  Feng Ding,et al.  Reconstruction of continuous-time systems from their non-uniformly sampled discrete-time systems , 2009, Autom..

[12]  Feng Ding,et al.  Hierarchical Least Squares Identification for Linear SISO Systems With Dual-Rate Sampled-Data , 2011, IEEE Transactions on Automatic Control.

[13]  Feng Ding,et al.  Partially Coupled Stochastic Gradient Identification Methods for Non-Uniformly Sampled Systems , 2010, IEEE Transactions on Automatic Control.

[14]  Hiroshi Harada,et al.  Output Feedback Control of Multirate Sampled Systems with an Adaptive Output Estimator and Its Application to a Liquid Level Process Control , 2010 .

[15]  Akira Inoue,et al.  Generalized Predictive Control in Fast-Rate Single-Rate and Dual-Rate Systems , 2007, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

[16]  Feng Ding,et al.  Computers and Mathematics with Applications the Residual Based Extended Least Squares Identification Method for Dual-rate Systems , 2022 .

[17]  P. Cochat,et al.  Et al , 2008, Archives de pediatrie : organe officiel de la Societe francaise de pediatrie.

[18]  Feng Ding,et al.  Combined parameter and output estimation of dual-rate systems using an auxiliary model , 2004, Autom..

[19]  Fredric J. Harris,et al.  Multirate Signal Processing for Communication Systems , 2004 .

[20]  Sirish L. Shah,et al.  Subspace identification for FDI in systems with non-uniformly sampled multirate data , 2006, Autom..

[21]  Torbjörn Wigren,et al.  Recursive prediction error identification and scaling of non-linear state space models using a restricted black box parameterization , 2006, Autom..

[22]  Dian Ting Liu,et al.  Modeling and Stability Analysis of Multi-Rate Networked Control Systems with Multiple Control Loops , 2010 .

[23]  Lennart Ljung,et al.  System Identification: Theory for the User , 1987 .

[24]  Feng Ding.  Generalized Yule-walker and two-stage identification algorithms for dual-rate systems , 2006 .