Event-triggered resilient filtering with stochastic uncertainties and successive packet dropouts via variance-constrained approach. - Chaoqing Jia; Jun Hu 004; Dongyan Chen; Yurong Liu; Fuad E. Alsaadi (Int. J. Gen. Syst., 2018)

Event-triggered recursive state estimation for dynamical networks under randomly switching topologies and multiple missing measurements. - Jun Hu 004; Zidong Wang 001; Guo-Ping Liu 003; Chaoqing Jia; Jonathan G. Williams (Autom., 2020)

Optimized state estimation for nonlinear dynamical networks subject to fading measurements and stochastic coupling strength: An event-triggered communication mechanism. - Chaoqing Jia; Jun Hu 004; Chongyang Lv; Yujing Shi (Kybernetika, 2020)

A survey on state estimation of complex dynamical networks. - Jun Hu 004; Chaoqing Jia; Hongjian Liu; Xiaojian Yi 001; Yurong Liu (Int. J. Syst. Sci., 2021)

Design of Variance-Constrained H∞ State Estimation Algorithm for Delayed Memristive Neural Networks with Attacks: An Adaptive Event-Triggered Approach. - Yan Gao; Jun Hu 004; Hui Yu; Chaoqing Jia (CCIS, 2022)

Partial-Nodes-Based State Estimation for Stochastic Coupled Complex Networks with Random Sensor Delay: An Event-Triggered Communication Method. - Na Lin; Dongyan Chen; Jun Hu 004; Chaoqing Jia (Circuits Syst. Signal Process., 2022)

Dynamic Event-triggered State Estimation for Nonlinear Coupled Output Complex Networks Subject to Innovation Constraints. - Jun Hu 004; Chaoqing Jia; Hui Yu; Hongjian Liu (IEEE CAA J. Autom. Sinica, 2022)

Adaptive event-triggered state estimation for a class of stochastic complex networks subject to coding-decoding schemes and missing measurements. - Chaoqing Jia; Jun Hu 004; Dongyan Chen; Zhipeng Cao; Jinpeng Huang; Hailong Tan (Neurocomputing, 2022)

Recursive state estimation for nonlinear coupling complex networks with time-varying topology and round-robin protocol. - Chaoqing Jia; Jun Hu 004; Bing Li 003; Hongjian Liu; Zhihui Wu (J. Frankl. Inst., 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)

Recursive state estimation for a class of quantized coupled complex networks subject to missing measurements and amplify-and-forward relay. - Chaoqing Jia; Jun Hu 004; Xiaojian Yi 001; Hongjian Liu; Jinpeng Huang; Zhipeng Cao (Inf. Sci., 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)

A Variance-Constrained Method to Protocol-Based H∞ State Estimation for Delayed Neural Networks with Randomly Occurring Sensor Nonlinearity. - Yan Gao; Jun Hu 004; Cai Chen 001; Hui Yu; Chaoqing Jia (Neural Process. Lett., 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)

Tobit Recursive Filtering for Nonlinear Networked Systems with Measurement Censoring and Constrained Bit Rate. - Shuo Yang; Jun Hu 004; Chaoqing Jia; Long Xu; Kun Chi (ASCC, 2024)

A variance-constrained method to encoding-decoding H∞ state estimation for memristive neural networks with energy harvesting sensor. - Yan Gao; Jun Hu 004; Kun Chi; Chaoqing Jia; Jun Qi 003 (Neurocomputing, 2024)

Distributed event-triggered state estimation for renewable microgrids subject to incomplete observations. - Peixia Gao; Wen Chen; Chaoqing Jia; Jiawen Zhang; Hongxu Zhang; Jun Hu 004 (Neurocomputing, 2025)

A Recursive Method to Encryption-Decryption-Based Distributed Set-Membership Filtering for Time-Varying Saturated Systems Over Sensor Networks. - Jun Hu 004; Jiaxing Li; Chaoqing Jia; Xiao-jian Yi 001; Hongjian Liu (IEEE CAA J. Autom. Sinica, 2025)

Distributed State Estimation for Nonlinear Dynamical Networks With Stochastic Topological Structures Subject to Random Deception Attacks and Bit-Rate Constraints. - Jun Hu 004; Bing Xu; Raquel Caballero-Águila; Chaoqing Jia; Hongli Dong (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Tobit filtering for nonlinear systems with fading observations under periodic protocol via uniform dynamic encoding-decoding scheme. - Shuo Yang; Jun Hu 004; Raquel Caballero-Águila; Chaoqing Jia (Commun. Nonlinear Sci. Numer. Simul., 2026)