Abstract
The identification of a class of linear-in-parametersmultiple-input single-output systems is considered. By using the iterative search, a least-squares based iterative algorithmand a gradient based iterative algorithmare proposed. Anonlinear example is used to verify the effectiveness of the algorithms, and the simulation results show that the least-squares based iterative algorithmcan producemore accurate parameter estimates than the gradient based iterative algorithm.
Cite
CITATION STYLE
Wang, C., Tang, T., & Chen, D. (2014). Least-squares based and gradient based iterative parameter estimation algorithms for a class of linear-in-parameters multiple-input single-output output error systems. Journal of Applied Mathematics, 2014. https://doi.org/10.1155/2014/673197
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