Title :
Parameter estimation for OEMA models with dual-rate input-output data
Author :
Ding Jie ; Yin Jun ; Zhu Songhao
Author_Institution :
Coll. of Autom., Nanjing Univ. of Posts & Telecommun., Nanjing, China
Abstract :
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.
Keywords :
parameter estimation; sampled data systems; OEMA model; colored noise; dual-rate input-output data; dual-rate sampled-data system; noise-free system output estimation; output error model; parameter estimation; recursive prediction error method; Data models; Estimation; Noise; Prediction algorithms; Predictive models; Signal processing algorithms; Vectors; Auxiliary Model; Dual-Rate Sampled Data; Output Error Model; Recursive Prediction Error Method;
Conference_Titel :
Control Conference (CCC), 2012 31st Chinese
Conference_Location :
Hefei
Print_ISBN :
978-1-4673-2581-3
