Chernoff fusion using observability Gramian-centric weighting

DOI10.1016/J.INS.2024.120280WikidataQ128694933 ScholiaQ128694933MaRDI QIDQ6495130

Guoliang Wei, Fuwen Yang, Wangyan Li, Lifeng Wu, Yuru Hu

Publication date: 30 April 2024

Published in: Information Sciences (Search for Journal in Brave)

zbMATH Keywords

Chernoff fusion (CF)generalised uniform observability (GUO)observability Gramian (OG)

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Discrete-time control/observation systems (93C55) Observability (93B07)

Cites Work

• Stability of consensus extended Kalman filter for distributed state estimation
• Sequential covariance intersection fusion Kalman filter
• Kullback-Leibler average, consensus on probability densities, and distributed state estimation with guaranteed stability
• Effectiveness of Bayesian filters: an information fusion perspective
• Extended Kalman filtering with stochastic nonlinearities and multiple missing measurements
• An order insensitive sequential fast covariance intersection fusion algorithm
• Optimization of stochastic systems. Topics in discrete-time systems
• Stochastic stability of the discrete-time extended Kalman filter
• Diffusion Kalman Filtering Based on Covariance Intersection
• Distributed Fusion With Multi-Bernoulli Filter Based on Generalized Covariance Intersection
• On Kalman-Consensus Filtering With Random Link Failures Over Sensor Networks
• Robust Kalman filtering for discrete time-varying uncertain systems with multiplicative noises

This page was built for publication: Chernoff fusion using observability Gramian-centric weighting