Hong-Xia Rao

29 papers Journal 27Unranked 2
YearRankTypeTitle / Venue / Authors
2023 J jnl
Finite-time cluster synchronization for complex dynamical networks under FDI attack: A periodic control approach.
Neural Networks
Jun-Yi Li, Yang-Cheng Huang, Hong-Xia Rao, Yong Xu, Renquan Lu
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
2023 J jnl
Reliable mixed H2/H∞ distributed estimation for periodic nonlinear systems with jumping topology.
J. Frankl. Inst.
Ming Lin, Yan-Ni Zeng, Hui Chen, Chang Liu, Hong-Xia Rao
2022 J jnl
Efficient Measurement Scheduling for Remote State Estimation With Limited Bandwidth.
IEEE Trans. Instrum. Meas.
Lixin Yang, Yong Xu, Hong-Xia Rao, Yong-Hua Liu, Chun-Yi Su
2022 J jnl
Event-Triggered and Asynchronous Reduced-Order Filtering Codesign for Fuzzy Markov Jump Systems.
IEEE Trans. Syst. Man Cybern. Syst.
Jie Tao, Zehui Xiao, Hong-Xia Rao, Jun Wu, Renquan Lu, Peng Shi, Xiaofeng Wang
2022 — conf
Finite-time Cluster Synchronization Control of Cyber-Physical Systems under Cyber Attack.
ICCA
Yang-Cheng Huang, Jun-Yi Li, Hong-Xia Rao, Hui Chen
2022 J jnl
Finite-time synchronisation for periodic delayed master-slave neural networks with weighted try-once-discard protocol.
Int. J. Syst. Sci.
Chang Liu, Jie Li, Ming Lin, Yanling Yang, Hong-Xia Rao
2022 J jnl
Optimal sensor scheduling for remote state estimation with limited bandwidth: a deep reinforcement learning approach.
Inf. Sci.
Lixin Yang, Hong-Xia Rao, Ming Lin, Yong Xu, Peng Shi
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
2022 J jnl
Reliable state estimation for neural networks with TOD protocol and mixed compensation.
Neurocomputing
Hui Chen, Yao Li, Chang Liu, Ming Lin, Hong-Xia Rao
2021 J jnl
Finite-time synchronization for periodic T-S fuzzy master-slave neural networks with distributed delays.
J. Frankl. Inst.
Chang Liu, Yuru Guo, Hong-Xia Rao, Ming Lin, Yong Xu
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 J jnl
Quasi-Synchronization for Periodic Neural Networks With Asynchronous Target and Constrained Information.
IEEE Trans. Syst. Man Cybern. Syst.
Yong Xu, Zebing Huang, Hong-Xia Rao, Renquan Lu, Tingwen Huang
2021 J jnl
Reliable impulsive synchronization for fuzzy neural networks with mixed controllers.
Neural Networks
Fen Liu, Chang Liu, Hong-Xia Rao, Yong Xu, Tingwen Huang
2021 J jnl
Reset Moving Horizon Estimation for Quantized Discrete Time Systems.
IEEE Trans. Autom. Control.
Yong Xu, Jiayu Zhou, Hong-Xia Rao, Renquan Lu, Lihua Xie
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
2021 J jnl
State Estimation for Networked Systems With Markov Driven Transmission and Buffer Constraint.
IEEE Trans. Syst. Man Cybern. Syst.
Yong Xu, Lixin Yang, Zhuo Wang, Hong-Xia Rao, Renquan Lu
2020 J jnl
Anti-synchronization for periodic BAM neural networks with Markov scheduling protocol.
Neurocomputing
Yiting Gan, Chang Liu, Hui Peng, Fen Liu, Hong-Xia Rao
2020 J jnl
Finite horizon state estimation for time-varying neural networks with sensor failure and energy constraint.
Neurocomputing
Bin Zhang, Hong-Xia Rao, Yunsong Deng, Hao Wu, Yinxia Zhu
2020 J jnl
Nonfragile Finite-Time Synchronization for Coupled Neural Networks With Impulsive Approach.
IEEE Trans. Neural Networks Learn. Syst.
Hong-Xia Rao, Yuru Guo, Yong Xu, Chang Liu, Renquan Lu
2020 J jnl
Observer-Based Impulsive Synchronization for Neural Networks With Uncertain Exchanging Information.
IEEE Trans. Neural Networks Learn. Syst.
Hong-Xia Rao, Fen Liu, Hui Peng, Yong Xu, Renquan Lu
2020 J jnl
Quasi-Synchronization of Time Delay Markovian Jump Neural Networks With Impulsive-Driven Transmission and Fading Channels.
IEEE Trans. Cybern.
Hong-Xia Rao, Yong Xu, Hui Peng, Renquan Lu, Chun-Yi Su
2020 J jnl
Synchronization for Markovian coupled neural networks with partial mode observation: The finite-time case.
J. Frankl. Inst.
Jun-Yi Li, Bin Zhang, Renquan Lu, Yong Xu, Hong-Xia Rao
2019 J jnl
Trajectory Tracking With Constrained Sensors and Unreliable Communication Networks.
IEEE Access
Chang Liu, Fen Liu, Hong-Xia Rao, Yong Xu
2018 J jnl
Finite-time control for periodic systems with Markov jump sensor nonlinearities and random input gains.
J. Frankl. Inst.
Hong-Xia Rao, Yong Xu, Chang Liu, Jun-Yi Li
2018 J jnl
State estimation for neural networks with jumping interval weight matrices and transmission delays.
Neurocomputing
Hong-Xia Rao, Renquan Lu, Yong Xu, Chang Liu
2017 J jnl
Distributed state estimation for periodic systems with sensor nonlinearities and successive packet dropouts.
Neurocomputing
Jun-Yi Li, Renquan Lu, Yong Xu, Hui Peng, Hong-Xia Rao
2017 J jnl
Quantized fuzzy passification for nonlinear systems with Markov-based transmission delays.
J. Frankl. Inst.
Hui Peng, Renquan Lu, Yong Xu, Hong-Xia Rao, Kan Xie