Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/72448
Title: A robust high-order recursive quadratic algorithm for linear-in-the- parameters models
Authors: Zhu, Q.
Tan, S. 
Qiao, Y.
Keywords: High-order
Quadratic
Recursive
Robust
Issue Date: 2006
Source: Zhu, Q.,Tan, S.,Qiao, Y. (2006). A robust high-order recursive quadratic algorithm for linear-in-the- parameters models. Proceedings of the IASTED International Conference on Modelling and Simulation 2006 : 476-481. ScholarBank@NUS Repository.
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.
Source Title: Proceedings of the IASTED International Conference on Modelling and Simulation
URI: http://scholarbank.nus.edu.sg/handle/10635/72448
ISBN: 0889865949
ISSN: 10218181
Appears in Collections:Staff Publications

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