Please use this identifier to cite or link to this item: https://doi.org/10.1142/S0218126608004459
Title: A high-order recursive quadratic algorithm for linear-in-the-parameter models
Authors: Zhu, Q.
Qiao, Y.
Tan, S. 
Keywords: High-order
Quadratic
Recursive
System identification
Issue Date: Jun-2008
Source: Zhu, Q.,Qiao, Y.,Tan, S. (2008-06). A high-order recursive quadratic algorithm for linear-in-the-parameter models. Journal of Circuits, Systems and Computers 17 (3) : 447-474. ScholarBank@NUS Repository. https://doi.org/10.1142/S0218126608004459
Abstract: In this paper, a high-order Recursive Quadratic (RQ) algorithm is introduced, and the features of this algorithm are thoroughly studied and illustrated. In addition, a robust RQ algorithm is also developed in the presence of general bounded noisy data to enhance model robustness. A numerical example is included to demonstrate the efficiency of RQ algorithms by comparing the results with both the projection algorithm and the conventional recursive least squares algorithm. Also some simulations are carried out to illustrate the effectiveness of the RQ and robust RQ algorithms. © 2008 World Scientific Publishing Company.
Source Title: Journal of Circuits, Systems and Computers
URI: http://scholarbank.nus.edu.sg/handle/10635/54249
ISSN: 02181266
DOI: 10.1142/S0218126608004459
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