Design of Distributed Fusion Predictor and Filter without Feedback for Nonlinear System with Correlated Noises and Random Parameter Matrices

Design of Distributed Fusion Predictor and Filter without Feedback for Nonlinear System with Correlated Noises and Random Parameter Matrices

This work presents distributed predictor and filter without feedback for nonlinear stochastic uncertain system with correlated noises. Firstly, for the problem that the process noise and measurement noise are correlated, the two-step prediction theorem based on projection theorem is used to replace...

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Bibliographic Details
Main Authors: Liu Man-lu, Lin Rui, Huo Jian-wen, Tan Li-guo, Ling Qing, Zybin Eugene Yuryevich
Format: Article
Language:English
Published: Sciendo 2022-02-01
Series:Measurement Science Review
Subjects:
nonlinear stochastic uncertain system
distributed fusion
state estimation
Online Access:https://doi.org/10.2478/msr-2022-0003

Internet

https://doi.org/10.2478/msr-2022-0003

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