A HIGH-ORDER RECURSIVE QUADRATIC ALGORITHM FOR LINEAR-IN-THE-PARAMETER MODELS-Reference-Cited by-同舟云学术

A HIGH-ORDER RECURSIVE QUADRATIC ALGORITHM FOR LINEAR-IN-THE-PARAMETER MODELS

Published:2008-06 Issue:03 Volume:17 Page:447-474
ISSN:0218-1266
Container-title:Journal of Circuits, Systems and Computers
language:en
Short-container-title:J CIRCUIT SYST COMP

Author:

ZHU QI¹,QIAO YING²,TAN SHAOHUA³

Affiliation:

1. Department of Computer Science, University of Houston, Victoria, TX 77901, USA

2. Department of Computer Science, Virginia Polytechnic Institute and State University, Virginia 24060, USA

3. Department of Electrical Engineering, National University of Singapore, Singapore 119260, Singapore

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.

Publisher

World Scientific Pub Co Pte Lt

Subject

Electrical and Electronic Engineering,Hardware and Architecture,Electrical and Electronic Engineering,Hardware and Architecture

Link

https://www.worldscientific.com/doi/pdf/10.1142/S0218126608004459

Reference15 articles.

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