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 predicti...

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Veröffentlicht in:Proceedings of the 31st Chinese Control Conference S. 1944 - 1947
Hauptverfasser: Ding Jie, Yin Jun, Zhu Songhao
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.07.2012
Schlagworte:
Auxiliary Model
Data models
Dual-Rate Sampled Data
Estimation
Noise
Output Error Model
Prediction algorithms
Predictive models
Recursive Prediction Error Method
Signal processing algorithms
Vectors
ISBN:1467325813, 9781467325813
ISSN:1934-1768
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Beschreibung
Zusammenfassung: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.
ISBN:1467325813
9781467325813
ISSN:1934-1768