A novel extended kernel recursive least squares algorithm

DOI10.1016/j.neunet.2011.12.006zbMath1254.94020OpenAlexW1977606287WikidataQ48802580 ScholiaQ48802580MaRDI QIDQ1929735

Pingping Zhu, Badong Chen, Jose C. Principe

Publication date: 9 January 2013

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2011.12.006

zbMATH Keywords

Kalman filterRLS algorithmtracking performanceextended kernel RLS algorithmextended-RLS algorithms

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (3)

Improving nonlinear modeling capabilities of functional link adaptive filters ⋮ Robust Data-Driven Fault Detection in Dynamic Process Environments Using Discrete Event Systems ⋮ A novel Kalman filter formulation for improving tracking performance of the extended kernel RLS

Cites Work

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• Kernel methods in machine learning
• The Kernel Least-Mean-Square Algorithm
• Extended Kernel Recursive Least Squares Algorithm
• Cubature Kalman Filtering for Continuous-Discrete Systems: Theory and Simulations
• Cubature Kalman Filters
• The Kernel Recursive Least-Squares Algorithm
• Theory of Reproducing Kernels

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