A New Sparse Kernel RLS Algorithm for Identification of Nonlinear Systems

The sliding window kernel recursive least squares (SW-KRLS) algorithm has been widely used in system identification because of its simple structure, low computational complexity, and high predictive accuracy. However, with the increase of input data, high computational complexity will worsen the alg...

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Vydané v:	IEEE access Ročník 9; s. 163165 - 163177
Hlavní autori:	Guo, Xinyu, Ou, Shifeng, Jiang, Menghua, Gao, Ying, Xu, Jindong, Cai, Zhuoran
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Approximation algorithms Complexity Dictionaries Heuristic algorithms Kernel kernel recursive least squares algorithm Kernels Least squares Mutation Nonlinear systems Prediction algorithms Signal processing algorithms Sliding Sparsification System identification variable sliding window method
ISSN:	2169-3536, 2169-3536
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