Guaranteed Cost Robust Weighted Measurement Fusion Kalman Estimators With Uncertain Noise Variances and Missing Measurements

This paper is concerned with a guaranteed cost robust weighted measurement fusion (WMF) estimation problem for a multisensor system with both uncertain noise variances and missing measurements. By introducing the fictitious measurement white noises, the original multisensor system is converted into...

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Veröffentlicht in:	IEEE sensors journal 2016-07, Vol.16 (14), p.5817-5825
Hauptverfasser:	Yang, Chunshan, Deng, Zili
Format:	Artikel
Sprache:	eng
Schlagworte:	Deviation Estimators guaranteed cost robustness Kalman filters Lyapunov equation approach Mathematical analysis Mathematical model Measurement uncertainty minimax Kalman estimator missing measurements Noise Noise measurement Parametrization Perturbation methods Representations Robustness Simulation Uncertain noise variance Upper bound Weight measurement weighted measurement fusion
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