Reinforced Lattice Kalman Filters: A Robust Nonlinear Estimation Strategy-Reference-Cited by-同舟云学术

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Reinforced Lattice Kalman Filters: A Robust Nonlinear Estimation Strategy

Published:2023 Issue: Volume:4 Page:410-423
ISSN:2644-1322
Container-title:IEEE Open Journal of Signal Processing
language:
Short-container-title:IEEE Open J. Signal Process.

Author:

Rahimnejad Abolfazl¹^ORCID,Enayati Javad²^ORCID,Vanfretti Luigi³^ORCID,Gadsden Stephen Andrew¹^ORCID,AlShabi Mohammad⁴^ORCID

Affiliation:

1. Faculty of Engineering, McMaster University, Hamilton, ON, Canada

2. R&D Department, Mazinoor Lighting Industry, Babol, Iran

3. Computer and Systems Engineering Department, Rensselaer Polytechnic Institute, Troy, NY, USA

4. Department of Mechanical and Nuclear Engineering, University of Sharjah, Sharjah, UAE

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/8782710/10040759/10192922.pdf?arnumber=10192922

Reference35 articles.

1. A Decentralized H-Infinity Unscented Kalman Filter for Dynamic State Estimation Against Uncertainties

2. Real‐time harmonic estimation using a novel hybrid technique for embedded system implementation

3. A Theoretical Framework of Robust H-Infinity Unscented Kalman Filter and Its Application to Power System Dynamic State Estimation

4. Comment on "A new method for the nonlinear transformation of means and covariances in filters and estimators" [with authors' reply]

5. The Variable Structure Filter

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