Distributed fault estimation with randomly occurring uncertainties over sensor networks. - Hongli Dong; Zidong Wang 001; Xianye Bu; Fuad E. Alsaadi (Int. J. Gen. Syst., 2016)

Event-triggered distributed state estimation for a class of time-varying systems over sensor networks with redundant channels. - Hongli Dong; Xianye Bu; Nan Hou; Yurong Liu; Fuad E. Alsaadi; Tasawar Hayat (Inf. Fusion, 2017)

Event-triggered distributed filtering over sensor networks with deception attacks and partial measurements. - Xianye Bu; Hongli Dong; Fei Han 003; Gongfa Li (Int. J. Gen. Syst., 2018)

Distributed filtering for time-varying systems over sensor networks with randomly switching topologies under the Round-Robin protocol. - Xianye Bu; Hongli Dong; Fei Han 003; Nan Hou; Gongfa Li (Neurocomputing, 2019)

Non-Fragile Distributed Fault Estimation for a Class of Nonlinear Time-Varying Systems Over Sensor Networks: The Finite-Horizon Case. - Xianye Bu; Hongli Dong; Zidong Wang 001; Hongjian Liu (IEEE Trans. Signal Inf. Process. over Networks, 2019)

Partial-Neurons-Based Passivity-Guaranteed State Estimation for Neural Networks With Randomly Occurring Time Delays. - Jiahui Li 004; Hongli Dong; Zidong Wang 001; Xianye Bu (IEEE Trans. Neural Networks Learn. Syst., 2020)

Finite-Horizon Distributed State Estimation Under Randomly Switching Topologies and Redundant Channels. - Hongli Dong; Xianye Bu; Zidong Wang 001; Fei Han 003 (IEEE Trans. Syst. Man Cybern. Syst., 2020)

Finite-Horizon Variance-Constrained Estimation for Complex Networks Subject to Dynamical Bias Using Binary Encoding Schemes. - Weijian Li; Nan Hou; Fan Yang; Xianye Bu; Ligang Sun (IEEE Access, 2023)

Partial-Nodes-Based Finite-Time Fault Estimator Design for Nonlinear Time-Varying Complex Networks Utilizing Binary Encoding Schemes. - Nan Hou; Dandi Yang; Xianye Bu; Zhongrui Hu; Dianjie Sui (IEEE Access, 2025)

Encoding-decoding-based fusion estimation with censored measurements: When data transmission meets random bit errors. - Jiahui Li; Wenwei Yan; Xianye Bu; Jinnan Zhang (J. Frankl. Inst., 2025)