Zenghong Huang

15 papers Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Distributed Receding Horizon Estimation for Time Invariant Discrete Time Linear Systems Based on Substate Decomposition.
IEEE Trans. Netw. Sci. Eng.
Zenghong Huang, Zijie Chen, Yong Xu, Chang Liu, Peng Shi
2026 J jnl
Distributed Set-Membership Filtering Over Wireless Sensor Networks With Coding-Decoding Mechanism.
IEEE Trans. Circuits Syst. I Regul. Pap.
Tianyang Zhang, Zenghong Huang, Chang Liu, Jun-Yi Li, Yong Xu, Tingwen Huang
2025 J jnl
Distributed Set-Membership Filtering for Sensor Networks: An Event-Triggered Approach.
IEEE Trans. Ind. Informatics
Tianyang Zhang, Zenghong Huang, Chang Liu, Yong Xu, Tingwen Huang
2024 J jnl
Event-Triggered Distributed Moving Horizon Estimation Over Wireless Sensor Networks.
IEEE Trans. Ind. Informatics
Zenghong Huang, Weijun Lv, Chang Liu, Yong Xu, Leszek Rutkowski, Tingwen Huang
2024 J jnl
Hybrid Transmission Scheduling Protocol for State Estimation Over a Constrained Channel.
IEEE Trans. Control. Netw. Syst.
Weijun Lv, Yong Xu, Zenghong Huang, Hongxia Rao, Ling Shi
2023 J jnl
Consensus-based distributed moving horizon estimation with constraints.
Inf. Sci.
Zenghong Huang, Zijie Chen, Chang Liu, Yong Xu, Peng Shi
2023 J jnl
Distributed Estimation and Smoothing for Linear Dynamic Systems Over Sensor Networks.
IEEE Trans. Circuits Syst. I Regul. Pap.
Yunsong Deng, Zenghong Huang, Yijin Jia, Yong Xu, Peng Shi
2023 J jnl
Distributed Moving Horizon Estimation Over Wireless Sensor Networks: A Matrix-Weighted Consensus Approach.
IEEE Trans. Circuits Syst. II Express Briefs
Zenghong Huang, Yuru Guo, Hui Peng, Yong Xu
2023 J jnl
Distributed State Estimation Over Sensor Networks With Substate Decomposition Approach.
IEEE Trans. Netw. Sci. Eng.
Yong Xu, Yunsong Deng, Zenghong Huang, Ming Lin, Peng Shi
2023 J jnl
Learning Optimal Stochastic Sensor Scheduling for Remote Estimation With Channel Capacity Constraint.
IEEE Trans. Ind. Informatics
Lixin Yang, Yong Xu, Zenghong Huang, Hong-Xia Rao, Daniel E. Quevedo
2023 J jnl
Pinning synchronization for markovian jump neural networks with uncertain impulsive effects.
Neurocomputing
Yuru Guo, Zenghong Huang, Lixin Yang, Hong-Xia Rao, Hui Chen, Yong Xu
2022 J jnl
Distributed Newton Optimization With Maximized Convergence Rate.
IEEE Trans. Autom. Control.
Damián Marelli, Yong Xu, Minyue Fu, Zenghong Huang
2022 J jnl
Quasisynchronization for Neural Networks With Partial Constrained State Information via Intermittent Control Approach.
IEEE Trans. Cybern.
Hong-Xia Rao, Liwei Zhao, Yong Xu, Zenghong Huang, Renquan Lu
2021 J jnl
Lag quasi-synchronization for periodic neural networks with unreliable redundant communication channels.
Neurocomputing
Hong-Xia Rao, Hui Chen, Zebing Huang, Zenghong Huang, Yuru Guo
2021 — conf
State Estimation for Discrete Time Linear Systems with Nonlinear measurements and Round-Robin Protocol.
SPAC
Zitian Li, Zenghong Huang, Lixin Yang, Jie Li, Hong-Xia Rao