Method for improving RLS algorithms |
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| Authors: | Tian-shu Li Kai Tian Wen-xiu Li |
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| Affiliation: | (1) College of Automation, Harbin Engineering University, Harbin, 150001, China |
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| Abstract: | The recursive least-square (RLS) algorithm has been extensively used in adaptive identification, prediction, filtering, and many other fields. This paper proposes adding a second-difference term to the standard recurrent formula to create a novel method for improving tracing capabilities. Test results show that this can greatly improve the convergence capability of RLS algorithms. |
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| Keywords: | adaptive model algorithms RLS tracing capabilities |
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