Guili Tao

Robust fusion steady‐state filtering for multisensor networked systems with one‐step random delay, missing measurements, and uncertain‐variance multiplicative and additive white noises

2019 · International Journal of Robust and Nonlinear Control

Summary The robust fusion steady‐state filtering problem is investigated for a class of multisensor networked systems with mixed uncertainties including multiplicative noises, one‐step random delay, missing measurements, and uncertain noise variances, the phenomena of one‐step …

Inverse Covariance Intersection Fusion Steady-state Kalman Filter for Uncertain Systems with Missing Measurements and Linearly Correlated White Noises

2021

For systems with missing measurements and linearly correlated white noises, by introducing the fictitious noises to compensate the multiplicative noise terms, the original system can be converted into one with only noise variances. The steady-state …

Robust Kalman Predictor under Linearly Correlated Noise and Mixed Uncertainties of Noise Variances and Multiple Networked-inducements

2024

The paper solves the robust Kalman prediction problem for systems with linearly correlated noise and mixed uncertainties of noise variances, multiplicative noises and multiple networked-inducements including missing measurements, packets dropouts and two-step random measurement delays. …