A robust high-order recursive quadratic algorithm for linear-in-the-parameters models

Authors:
Qi Zhu;Shaohua Tan;Ying Qiao
Affiliations:
Department of Computer Science, University of Houston - Victoria, Victoria, Texas;Department of Electrical Engineering, National University of Singapore, Singapore;Department of Computer Science, Virginia Polytechnic Institute and State University, Blacksburg, Virginia
Venue:
MS'06 Proceedings of the 17th IASTED international conference on Modelling and simulation
Year:
2006

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Abstract

In this paper a robust k-order Recursive Quadratic algorithm for a large class of linear-in-the-parametes models is introduced to enhance Recursive Quadratic algorithm's robustness. The features of the algorithm are discussed and the convergence of the algorithm has been proven in this paper. Several examples are included to demonstrate the efficiency by comparing the result with the conventional least square algorithm and the effectiveness of the robust Recursive Quadratic algorithm.