A Novel Adaptive Kalman Filter Based on Credibility Measure-Reference-Cited by-同舟云学术

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A Novel Adaptive Kalman Filter Based on Credibility Measure

Published:2023-01 Issue:1 Volume:10 Page:103-120
ISSN:2329-9266
Container-title:IEEE/CAA Journal of Automatica Sinica
language:
Short-container-title:IEEE/CAA J. Autom. Sinica

Author:

Ge Quanbo¹,Hu Xiaoming²,Li Yunyu³,He Hongli⁴,Song Zihao⁵

Affiliation:

1. School of Automation, Nanjing University of Information Science and Technology,Nanjing,210044

2. KTH Royal Institute of Technology,Stockholm,Sweden,10044

3. School of Automation, Hangzhou Dianzi University,Hangzhou,China,310000

4. Testing Institute, Chinese Flight Test Establishment,Xi'an,China,710000

5. School of Electrical and Automation Engineering, East China Jiaotong University,Nanchang,China,330000

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Information Systems,Control and Systems Engineering,Control and Optimization

Link

http://xplorestaging.ieee.org/ielx7/6570654/10007882/10007883.pdf?arnumber=10007883

Reference34 articles.

1. Recursive Noise Adaptive Kalman Filtering by Variational Bayesian Approximations

2. Algorithms for sequential adaptive estimation of prior statistics

3. Mixed particle swarm optimization algorithm with multistage disturbances;xu;J Software,2019

4. A Novel Adaptive Kalman Filter With Inaccurate Process and Measurement Noise Covariance Matrices

5. Variational Bayesian Two-Stage Kalman Filter for Systems with Unknown Inputs

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2. A Non-Parametric Scheme for Identifying Data Characteristic Based on Curve Similarity Matching;IEEE/CAA Journal of Automatica Sinica;2024-06

3. Adaptive nonlinear Kalman filters based on credibility theory with noise correlation;Chinese Journal of Aeronautics;2024-06

4. Bayesian Filtering for High-Dimensional State-Space Models With State Partition and Error Compensation;IEEE/CAA Journal of Automatica Sinica;2024-05

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