Hong-Xia Rao

According to our database, Hong-Xia Rao authored at least 37 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

State Estimation for Recurrent Neural Networks With Intermittent Transmission.

Chang Liu, Hongxia Rao, Xinxin Yu, Yong Xu, Chun-Yi Su

IEEE Trans. Cybern., May, 2024

Dynamic Event-Triggered Synchronization of Markov Jump Neural Networks via Sliding Mode Control.

Jie Tao, Ruipeng Liang, Jiaxiang Su, Zehui Xiao, Hongxia Rao, Yong Xu

IEEE Trans. Cybern., April, 2024

Puffin Platform: A Morphable Unmanned Aerial/Underwater Vehicle With Eight Propellers.

Hongxia Rao, Lijie Xie, Jiapeng Yang, Yong Xu, Weijun Lv, Zongkai Zheng, Yihui Deng, Haotian Guo

IEEE Trans. Ind. Electron., 2024

Synchronization for neural networks over event-triggered multi-channel: Relay channels under cyber-attacks.

Yumei Zhou, Xiantao Luo, Zijing Xiao, Jian Huang, Hongxia Rao, Yao Zhao

Neurocomputing, 2024

2023

Event-Triggered Resilient Filtering With the Interval Type Uncertainty for Markov Jump Systems.

Jie Tao, Muxi Xu, Depeng Chen, Zehui Xiao, Hongxia Rao, Yong Xu

IEEE Trans. Cybern., December, 2023

Synchronization for Markovian master-slave neural networks: an event-triggered impulsive approach.

Yumei Zhou, Yuru Guo, Chang Liu, Hui Peng, Hongxia Rao

Int. J. Syst. Sci., September, 2023

Finite-time cluster synchronization for complex dynamical networks under FDI attack: A periodic control approach.

Jun-Yi Li, Yang-Cheng Huang, Hong-Xia Rao, Yong Xu, Renquan Lu

Neural Networks, August, 2023

Learning Optimal Stochastic Sensor Scheduling for Remote Estimation With Channel Capacity Constraint.

Lixin Yang, Yong Xu, Zenghong Huang, Hong-Xia Rao, Daniel E. Quevedo

IEEE Trans. Ind. Informatics, March, 2023

Reliable mixed H2/H∞ distributed estimation for periodic nonlinear systems with jumping topology.

Ming Lin, Yan-Ni Zeng, Hui Chen, Chang Liu, Hong-Xia Rao

J. Frankl. Inst., 2023

Pinning synchronization for markovian jump neural networks with uncertain impulsive effects.

Yuru Guo, Zenghong Huang, Lixin Yang, Hong-Xia Rao, Hui Chen, Yong Xu

Neurocomputing, 2023

Set-Membership Filtering for Time-Varying Complex Networks with Randomly Varying Nonlinear Coupling Structure.

Ming Lin, Jie Li, Yan-Ni Zeng, Chang Liu, Hongxia Rao

Circuits Syst. Signal Process., 2023

2022

Event-Triggered and Asynchronous Reduced-Order Filtering Codesign for Fuzzy Markov Jump Systems.

Jie Tao, Zehui Xiao, Hong-Xia Rao, Jun Wu, Renquan Lu, Peng Shi, Xiaofeng Wang

IEEE Trans. Syst. Man Cybern. Syst., 2022

Efficient Measurement Scheduling for Remote State Estimation With Limited Bandwidth.

Lixin Yang, Yong Xu, Hong-Xia Rao, Yong-Hua Liu, Chun-Yi Su

IEEE Trans. Instrum. Meas., 2022

Quasisynchronization for Neural Networks With Partial Constrained State Information via Intermittent Control Approach.

Hong-Xia Rao, Liwei Zhao, Yong Xu, Zenghong Huang, Renquan Lu

IEEE Trans. Cybern., 2022

Optimal sensor scheduling for remote state estimation with limited bandwidth: a deep reinforcement learning approach.

Lixin Yang, Hong-Xia Rao, Ming Lin, Yong Xu, Peng Shi

Inf. Sci., 2022

Finite-time synchronisation for periodic delayed master-slave neural networks with weighted try-once-discard protocol.

Chang Liu, Jie Li, Ming Lin, Yanling Yang, Hong-Xia Rao

Int. J. Syst. Sci., 2022

Reliable state estimation for neural networks with TOD protocol and mixed compensation.

Hui Chen, Yao Li, Chang Liu, Ming Lin, Hong-Xia Rao

Neurocomputing, 2022

Finite-time Cluster Synchronization Control of Cyber-Physical Systems under Cyber Attack.

Yang-Cheng Huang, Jun-Yi Li, Hong-Xia Rao, Hui Chen

Proceedings of the 17th IEEE International Conference on Control & Automation, 2022

Sequential Covariance Intersection Based on the Upper Bound of Correlation Coefficient.

Chengzi Li, Qian Yang, Yiwen Cao, Hongxia Rao, Yong Xu

Proceedings of the 13th Asian Control Conference, 2022

2021

State Estimation for Networked Systems With Markov Driven Transmission and Buffer Constraint.

Yong Xu, Lixin Yang, Zhuo Wang, Hong-Xia Rao, Renquan Lu

IEEE Trans. Syst. Man Cybern. Syst., 2021

Quasi-Synchronization for Periodic Neural Networks With Asynchronous Target and Constrained Information.

Yong Xu, Zebing Huang, Hong-Xia Rao, Renquan Lu, Tingwen Huang

IEEE Trans. Syst. Man Cybern. Syst., 2021

Reset Moving Horizon Estimation for Quantized Discrete Time Systems.

Yong Xu, Jiayu Zhou, Hong-Xia Rao, Renquan Lu, Lihua Xie

IEEE Trans. Autom. Control., 2021

Reliable impulsive synchronization for fuzzy neural networks with mixed controllers.

Fen Liu, Chang Liu, Hong-Xia Rao, Yong Xu, Tingwen Huang

Neural Networks, 2021

Finite-time synchronization for periodic T-S fuzzy master-slave neural networks with distributed delays.

Chang Liu, Yuru Guo, Hong-Xia Rao, Ming Lin, Yong Xu

J. Frankl. Inst., 2021

Lag quasi-synchronization for periodic neural networks with unreliable redundant communication channels.

Hong-Xia Rao, Hui Chen, Zebing Huang, Zenghong Huang, Yuru Guo

Neurocomputing, 2021

State Estimation for Discrete Time Linear Systems with Nonlinear measurements and Round-Robin Protocol.

Zitian Li, Zenghong Huang, Lixin Yang, Jie Li, Hong-Xia Rao

Proceedings of the 2021 International Conference on Security, 2021

2020

Observer-Based Impulsive Synchronization for Neural Networks With Uncertain Exchanging Information.

Hong-Xia Rao, Fen Liu, Hui Peng, Yong Xu, Renquan Lu

IEEE Trans. Neural Networks Learn. Syst., 2020

Nonfragile Finite-Time Synchronization for Coupled Neural Networks With Impulsive Approach.

Hong-Xia Rao, Yuru Guo, Yong Xu, Chang Liu, Renquan Lu

IEEE Trans. Neural Networks Learn. Syst., 2020

Quasi-Synchronization of Time Delay Markovian Jump Neural Networks With Impulsive-Driven Transmission and Fading Channels.

Hong-Xia Rao, Yong Xu, Hui Peng, Renquan Lu, Chun-Yi Su

IEEE Trans. Cybern., 2020

Synchronization for Markovian coupled neural networks with partial mode observation: The finite-time case.

Jun-Yi Li, Bin Zhang, Renquan Lu, Yong Xu, Hong-Xia Rao

J. Frankl. Inst., 2020

Finite horizon state estimation for time-varying neural networks with sensor failure and energy constraint.

Bin Zhang, Hong-Xia Rao, Yunsong Deng, Hao Wu, Yinxia Zhu

Neurocomputing, 2020

Anti-synchronization for periodic BAM neural networks with Markov scheduling protocol.

Yiting Gan, Chang Liu, Hui Peng, Fen Liu, Hong-Xia Rao

Neurocomputing, 2020

2019

Trajectory Tracking With Constrained Sensors and Unreliable Communication Networks.

Chang Liu, Fen Liu, Hong-Xia Rao, Yong Xu

IEEE Access, 2019

2018

Finite-time control for periodic systems with Markov jump sensor nonlinearities and random input gains.

Hong-Xia Rao, Yong Xu, Chang Liu, Jun-Yi Li

J. Frankl. Inst., 2018

State estimation for neural networks with jumping interval weight matrices and transmission delays.

Hong-Xia Rao, Renquan Lu, Yong Xu, Chang Liu

Neurocomputing, 2018

2017

Quantized fuzzy passification for nonlinear systems with Markov-based transmission delays.

Hui Peng, Renquan Lu, Yong Xu, Hong-Xia Rao, Kan Xie

J. Frankl. Inst., 2017

Distributed state estimation for periodic systems with sensor nonlinearities and successive packet dropouts.

Jun-Yi Li, Renquan Lu, Yong Xu, Hui Peng, Hong-Xia Rao

Neurocomputing, 2017