Abstract
In this paper, a distributed fusion robust estimation algorithm for uncertain multisensor networked singular control system is studied. In the considered system, there exist missing measurement, uncertain noises variance, and correlated measurement noises. First, this singular system with missing measurement is transformed into a reduced-order standard system only with uncertain-variance fictitious noises, based on the singular value decomposition (SVD) method and the de-randomization method. Then, using the minimax robust estimation principle, the robust local estimators of the reduced-order state are presented. Further, the local and distribution fusion estimators of the original singular system are presented based on the distribution fusion criterion, according to the relation of original state and reduced-order state. And the robustness of the local and fusion estimators is presented based on the Lyapunov equation method and nonnegative definite matrix decomposition method. A simulation example of a dynamic system verifies the effectiveness of the proposed results.
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Acknowledgements
This work is supported by National Natural Science Foundation of China under Grant (61573131), 2020 Basic Scientific Research Project in Heilongjiang Province (2020-KYYWF-0999, 2021-KYYWF-0027). The authors would like to thank the reviewers, associate editor, and editor for their helpful and constructive comments.
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Communicated by Antonio José Silva Neto.
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Zheng, J., Ran, C. Distributed fusion robust estimators for multisensor networked singular control system with uncertain-variance correlated noises and missing measurement. Comp. Appl. Math. 42, 66 (2023). https://doi.org/10.1007/s40314-023-02202-3
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DOI: https://doi.org/10.1007/s40314-023-02202-3
Keywords
- Multisensor networked singular control system
- Uncertain variances
- Missing measurement
- Correlated noises
- Robust fusion estimator
- Global robustness