Jesus U. Liceaga-Castro, Irma I. Siller-Alcala, Roberto A. Alcantara, "Least Square Identification Using Noise Reduction Disturbance Observer," WSEAS Transactions on Systems, vol. 18, pp. 313-318, 2019, DOI:
Jesus U. Liceaga-Castro, Irma I. Siller-Alcala, Roberto A. Alcantara. Least Square Identification Using Noise Reduction Disturbance Observer.
WSEAS Transactions on Systems. 2019;18:313-318.
WSEAS Transactions on Systems
Print ISSN: 1109-2777, E-ISSN: 2224-2678
Volume 18, 2019
Least Square Identification Using Noise Reduction Disturbance Observer
Authors: , ,
Abstract: In this article, the application of the identification algorithm of Recursive Least Squares with Forgetting Factor in conjunction with the Noise Reduction Disturbance Observer shows that the effects of noise, which affects input and output signals of the process, can be reduced so that the identification process can be more effective and precise. In order to evaluate the effectiveness of this strategy the results of a case of study in which estimation of a first order process using the Noise Reduction Disturbance Observer is compared to an estimation without the Disturbance Observer.
Pages: 313-318 WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 18, 2019, Art. #39 DOI: *As the DOI is a unique identifier, it is already available in the pdf version.
**The DOI link will be activated in the first midst of January 2026.
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