State estimation for a class of discrete nonlinear systems with randomly occurring uncertainties and distributed sensor delays. - Jun Hu 004; Dongyan Chen; Junhua Du (Int. J. Gen. Syst., 2014)

A recursive approach to non-fragile filtering for networked systems with stochastic uncertainties and incomplete measurements. - Jun Hu 004; Jinling Liang; Dongyan Chen; Donghai Ji; Junhua Du (J. Frankl. Inst., 2015)

Optimal filtering for systems with finite-step autocorrelated process noises, random one-step sensor delay and missing measurements. - Dongyan Chen; Long Xu 005; Junhua Du (Commun. Nonlinear Sci. Numer. Simul., 2016)

Linear optimal filtering for time-delay networked systems subject to missing measurements with individual occurrence probability. - Junhua Du; Long Xu 005; Yurong Liu; Yue Song; Xuelin Fan (Neurocomputing, 2016)

Optimized State Estimation of Uncertain Linear Time-Varying Complex Networks With Random Sensor Delay Subject to Uncertain Probabilities. - Junhua Du (IEEE Access, 2019)

Distributed variance-constrained robust filtering with randomly occurring nonlinearities and missing measurements over sensor networks. - Zhigong Wang; Dongyan Chen; Junhua Du (Neurocomputing, 2019)

Robust Fault Detection for Nonlinear Discrete Systems with Data Drift and Randomly Occurring Faults Under Weighted Try-Once-Discard Protocol. - Weilu Chen; Jun Hu 004; Xiaoyang Yu; Dongyan Chen; Junhua Du (Circuits Syst. Signal Process., 2020)

Design of Simultaneous State and Unknown Input Filtering Algorithm for a Class of Nonlinear Stochastic Systems with Multiple Sensors. - Zhibin Hu; Jun Hu 004; Cai Chen 001; Junhua Du (CCIS, 2022)

Finite-Time Stabilization of Multi-rate Networked Control System Based on Predictive Control. - Hairui Zhao; Dongyan Chen; Jun Hu 004; Junhua Du (Circuits Syst. Signal Process., 2022)

Variance-Constrained Resilient H∞ State Estimation for Time-Varying Neural Networks with Random Saturation Observation Under Uncertain Occurrence Probability. - Yan Gao; Jun Hu 004; Hui Yu; Junhua Du; Chaoqing Jia (Neural Process. Lett., 2023)

Outlier-resistant variance-constrained $ mathit{H}_{ infty }$ state estimation for time-varying recurrent neural networks with randomly occurring deception attacks. - Yan Gao; Jun Hu 004; Hui Yu; Junhua Du; Chaoqing Jia (Neural Comput. Appl., 2023)

Partial-Neurons-Based H∞ State Estimation for Time-Varying Neural Networks Subject to Randomly Occurring Time Delays under Variance Constraint. - Jun Hu 004; Yan Gao; Cai Chen 001; Junhua Du; Chaoqing Jia (Neural Process. Lett., 2023)

Multi-sensor information fusion filtering for delayed nonlinear stochastic singular systems with packet disorders. - Chen Wang; Jun Hu 004; Zhibin Hu; Junhua Du; Hongjian Liu (J. Frankl. Inst., 2024)

Fusion filtering for rectangular descriptor systems with stochastic bias and random observation delays under weighted try-once-discard protocol. - Jun Hu 004; Ruonan Luo; Cai Chen 001; Junhua Du; Xiaojian Yi 001 (Commun. Nonlinear Sci. Numer. Simul., 2024)

Nonlinear distributed filtering for time-varying saturated stochastic systems with cyber-attack via FlexRay regulation mechanism. - Jiaxing Li; Jun Hu 004; Junhua Du; Mingqing Zhu; Ruixue Zhang (J. Frankl. Inst., 2025)