Distributed fusion estimation with square-root array implementation for Markovian jump linear systems with random parameter matrices and cross-correlated noises Y Yang, Y Liang, Q Pan, Y Qin, F Yang Information Sciences 370, 446-462, 2016 | 31 | 2016 |
Gaussian-consensus filter for nonlinear systems with randomly delayed measurements in sensor networks Y Yang, Y Liang, Q Pan, Y Qin, X Wang Information Fusion 30, 91-102, 2016 | 26 | 2016 |
Minimum upper-bound filter of Markovian jump linear systems with generalized unknown disturbances Y Qin, Y Liang, Y Yang, Q Pan, F Yang Automatica 73, 56-63, 2016 | 20 | 2016 |
Linear minimum‐mean‐square error estimation of Markovian jump linear systems with Stochastic coefficient matrices Y Yang, Y Liang, Q Pan, Y Qin, F Yang IET Control Theory & Applications 8 (12), 1112-1126, 2014 | 20 | 2014 |
Adaptive Gaussian mixture filter for Markovian jump nonlinear systems with colored measurement noises Y Yang, Y Liang, Q Pan, Y Qin, X Wang ISA transactions 80, 111-126, 2018 | 16 | 2018 |
Linear minimum‐mean‐square error estimation of Markovian jump linear systems with randomly delayed measurements Y Yang, Y Liang, F Yang, Y Qin, Q Pan IET Signal Processing 8 (6), 658-667, 2014 | 14 | 2014 |
Device-free passive wireless localization system with transfer deep learning method X Rao, Z Li, Y Yang Journal of Ambient Intelligence and Humanized Computing 11, 4055-4071, 2020 | 12 | 2020 |
Distributed fusion for nonlinear uncertain systems with multiplicative parameters and random delay Y Yang, Y Qin, Q Pan, Y Yang, Z Li Signal Processing 157, 198-212, 2019 | 12 | 2019 |
Adaptive filter of non‐linear systems with generalised unknown disturbances Y Qin, Y Liang, Y Yang, Z Wang, F Yang IET Radar, Sonar & Navigation 8 (4), 307-317, 2014 | 11 | 2014 |
DFPhaseFL: a robust device-free passive fingerprinting wireless localization system using CSI phase information X Rao, Z Li, Y Yang, S Wang Neural Computing and Applications 32 (18), 14909-14927, 2020 | 9 | 2020 |
Conditional self-attention generative adversarial network with differential evolution algorithm for imbalanced data classification NIU Jiawei, LIU Zhunga, PAN Quan, Y Yanbo, LI Yang Chinese Journal of Aeronautics 36 (3), 303-315, 2023 | 8 | 2023 |
Robust interval‐constrained filter Y Yang, Y Liang, L Xu, Y Qin, Y Yang IET Control Theory & Applications 11 (7), 908-914, 2017 | 8 | 2017 |
Experimental analysis of a game-theoretic formulation of target tracking Y Yang, B Moran, X Wang, TC Brown, S Williams, Q Pan Automatica 114, 108793, 2020 | 7 | 2020 |
Recursive linear optimal filter for Markovian jump linear systems with multi-step correlated noises and multiplicative random parameters Y Yang, Y Qin, Q Pan, Y Yang, Z Li International Journal of Systems Science 50 (4), 749-763, 2019 | 6 | 2019 |
A Gaussian mixture smoother for Markovian jump linear systems with non-Gaussian noises Y Yang, Y Qin, Y Yang, Q Pan, Z Lil 2018 21st International Conference on Information Fusion (FUSION), 2564-2571, 2018 | 5 | 2018 |
A comparison of iteratively reweighted least squares and Kalman filter with em in measurement error covariance estimation Y Yang, T Brown, B Moran, X Wang, Q Pan, Y Qin 2016 19th International Conference on Information Fusion (FUSION), 286-291, 2016 | 5 | 2016 |
Distributed estimation for nonlinear systems with correlated multiplicative noises and randomly delayed measurements Y Yang, Q Pan, Y Liang, Y Qin, F Yang Control Theory Applications 33 (11), 1431-1441, 2016 | 5 | 2016 |
Iteratively distributed instrumental variable-based pseudo-linear information filter for angle-only tracking Y Yang, Z Liu, Y Qin, S Xu, Q Pan ISA transactions 138, 359-372, 2023 | 4 | 2023 |
Finite‐time distributed block‐decomposed information filter for nonlinear systems with colored measurement noise Y Yang, Y Qin, Y Yang, Z Li, Q Pan International Journal of Robust and Nonlinear Control 31 (8), 3115-3136, 2021 | 4 | 2021 |
Distributed information filter for linear systems with colored measurement noise Y Yang, Y Qin, Q Pan, Y Yang, Z Li 2019 22th International Conference on Information Fusion (FUSION), 1-7, 2019 | 3 | 2019 |