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- W4293010310 abstract "The purpose of this study was to investigate the state estimation problem for the multisensor descriptor fractional systems. Firstly, the descriptor fractional order system was transformed into two nondescriptor fractional order subsystem based on the singular value decomposition method; then, the descriptor fractional Kalman filters for the subsystems were proposed based on projection theory, which effectively solved the state estimation problem of the descriptor fractional order system with singular matrix; on this basis, the track fusion fractional Kalman filter of the multisensor descriptor fractional system is proposed by using the track fusion algorithm. The state estimation accuracy of multisensor descriptor fractional order systems is greatly improved. Simulation results show the effectiveness of the proposed algorithm." @default.
- W4293010310 created "2022-08-25" @default.
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- W4293010310 date "2022-08-24" @default.
- W4293010310 modified "2023-10-15" @default.
- W4293010310 title "Track Fusion Fractional Kalman Filter for the Multisensor Descriptor Fractional Systems" @default.
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- W4293010310 doi "https://doi.org/10.1155/2022/9637801" @default.
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