Wenqiang Liu was born in Heilongjiang, China in 1980. He received his B.S. degree and M.E. degree in the School of Computer and Control Engineering, Qiqihar University in 2003 and in 2006, respectively, and the Ph.D. degree in the Department of Automation, Heilongjiang University. He has been a lecturer in the School of Computer and Information Engineering, Heilongjiang University of Science and Technology since 2009, and has been an Associate Professor in the School of Information and Electronic Engineering, Zhejiang Gongshang University since 2019.His research interests are in the areas of multisensor information fusion and robust Kalman filtering.

[1] W.Q. Liu, X.M. Wang, Z.L. Deng. Robust Weighted Fusion Steady-state White Noise Deconvolution Smoothers for Multisensor Systems with Uncertain Noise Variances [J]. Signal Processing, 2016, 122: 98-114. DOI:10.1016/j.sigpro.2015.11.023

[2] W.Q. Liu, X.M. Wang, Z.L. Deng. Robust Centralized and Weighted Measurement Fusion Kalman Estimators for Uncertain Multisensor Systems with Linearly Correlated White Noises [J]. Information Fusion, 2017, 35: 11-25. DOI: 10.1016/j.inffus.2016.08.002

[3] W.Q. Liu, X.M. Wang, Z.L. Deng. Robust Weighted Fusion Kalman Estimators for Multisensor Systems with Multiplicative Noises and Uncertain-covariances Linearly Correlated White Noises [J]. International Journal of Robust and Nonlinear Control, 2017, 27(12): 2019-2052. DOI:10.1002/rnc.3649

[4] W.Q. Liu, X.M. Wang, Z.L. Deng. Robust Centralized and Weighted Measurement Fusion Kalman Estimators for Multisensor Systems with Multiplicative and Uncertain-covariance Linearly Correlated White Noises [J]. Journal of the Franklin Institute, 2017, 354(4): 1992-2031. DOI:10.1016/j.jfranklin.2016.12.023

[5] W.Q. Liu, X.M. Wang, Z.L. Deng. Robust Kalman Estimators for Systems with Multiplicative and Uncertain-variance Linearly Correlated Additive White Noises [J]. Aerospace Science and Technology, 2018, 72: 230-247. DOI:10.1016/j.ast.2017.11.008

[6] W.Q. Liu, X.M. Wang, Z.L. Deng. Robust Centralized and Weighted Measurement Fusion White Noise Deconvolution Estimators for Multisensor Systems with Mixed Uncertainties [J]. International Journal of Adaptive Control and Signal Processing, 2018, 32(1): 185-212. DOI:10.1002/acs.2837

[7] W.Q. Liu, X.M. Wang, Z.L. Deng. Robust Centralized and Weighted Measurement Fusion Kalman Predictors with Multiplicative Noises, Uncertain Noise Variances, and Missing Measurements [J]. Circuits, Systems, and Signal Processing, 2018, 37(2): 770-809. DOI:10.1007/s00034-017-0578-6

[8] W.Q. Liu, X.M. Wang, Z.L. Deng. Robust Kalman Estimators for Systems with Mixed Uncertainties [J]. Optimal Control Applications and Methods, 2018, 39(2): 735-756. DOI:10.1002/oca.2374

[9] W.Q. Liu, X.M. Wang, Z.L. Deng. Robust fusion time-varying Kalman estimators for multisensor networked systems with mixed uncertainties [J]. International Journal of Robust and Nonlinear Control, 2018, 28(14): 4139-4174. DOI:10.1002/rnc.4226

[10] W.Q. Liu, G.L. Tao, Y.J. Fan, G.Q. Zhang. Robust fusion steady-state filtering for multisensor networked systems with one-step random delay, missing measurements, and uncertain-variance multiplicative and additive white noises. Int J Robust Nonlinear Control. 2019, 29(14): 4716-4754.DOI:10.1002/rnc.4648

[11] W.Q. Liu, Z.L. Deng. Weighted fusion robust steady-state estimators for multisensor networked systems with one-step random delay and inconsecutive packet dropouts. Int J Adapt Control Signal Process. 2020, 34(2): 151-182. DOI: 10.1002/acs.3076

[12] W.Q. Liu, G.L. Tao, C. Shen. Robust measurement fusion steady-state estimator design for     multisensor networked systems with random two-step transmission delays and missing measurements. Mathematics and Computers in Simulation 181 (2021) 242-283. DOI10.1016/j.matcom.2020.09.013

[13] W.Q. Liu, G.L. Tao. Robust fusion steady-state estimators for networked stochastic uncertain systems with packet dropouts and missing measurements. Optim Control Appl Meth. 2021, 42(3), 629-659. DOI:10.1002/oca.2695

[14] G.L. Tao, W.Q. Liu, X.M. Wang, J.F. Zhang, H.Y. Yu, Robust CAWOF Kalman predictors for uncertain multi-sensor generalized system, International Journal of Adaptive Control and Signal Processing, 2021, 35(12): 2423-2445. DOI:10.1002/acs.3330

[15] Li, S., Liu, W. & Tao, G. Centralized fusion robust filtering for networked uncertain systems with colored noises, one-step random delay, and packet dropouts. EURASIP J. Adv. Signal Process. 2022, 24 (2022). https://doi.org/10.1186/s13634-022-00857-4

[16] Wen-Qiang Liu, Wei Liu, Shuang Li, Gui-Li Tao. Fusion steady-state robust filtering for uncertain multisensor networked systems with application to autoregressive moving average signal estimates, Optim Control Appl Meth. 2023, 44(1), 275-307. DOI:10.1002/oca.2950

[17] Liu W, Hu C, Hu Q, Liu W, Ren W. Robust steady-state matrix-weighted fusion filtering for multisensor multichannel autoregressive signal with multiple uncertainties. Int J Adapt Control Signal Process. 2023;37(12):3268-3296. DOI: 10.1002/acs.3683