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Hong-Xia Rao
ORCID
Publication Activity (10 Years)
Years Active: 2017-2023
Publications (10 Years): 28
Top Topics
State Estimation
Eliminate Redundant
Kalman Filtering
Neural Network
Top Venues
Neurocomputing
J. Frankl. Inst.
IEEE Trans. Syst. Man Cybern. Syst.
IEEE Trans. Cybern.
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Publications
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Ming Lin
,
Yan-Ni Zeng
,
Hui Chen
,
Chang Liu
,
Hong-Xia Rao
Reliable mixed H2/H∞ distributed estimation for periodic nonlinear systems with jumping topology.
J. Frankl. Inst.
360 (1) (2023)
Jun-Yi Li
,
Yang-Cheng Huang
,
Hong-Xia Rao
,
Yong Xu
,
Renquan Lu
Finite-time cluster synchronization for complex dynamical networks under FDI attack: A periodic control approach.
Neural Networks
165 (2023)
Lixin Yang
,
Yong Xu
,
Zenghong Huang
,
Hong-Xia Rao
,
Daniel E. Quevedo
Learning Optimal Stochastic Sensor Scheduling for Remote Estimation With Channel Capacity Constraint.
IEEE Trans. Ind. Informatics
19 (3) (2023)
Yuru Guo
,
Zenghong Huang
,
Lixin Yang
,
Hong-Xia Rao
,
Hui Chen
,
Yong Xu
Pinning synchronization for markovian jump neural networks with uncertain impulsive effects.
Neurocomputing
522 (2023)
Hui Chen
,
Yao Li
,
Chang Liu
,
Ming Lin
,
Hong-Xia Rao
Reliable state estimation for neural networks with TOD protocol and mixed compensation.
Neurocomputing
492 (2022)
Yang-Cheng Huang
,
Jun-Yi Li
,
Hong-Xia Rao
,
Hui Chen
Finite-time Cluster Synchronization Control of Cyber-Physical Systems under Cyber Attack.
ICCA
(2022)
Hong-Xia Rao
,
Liwei Zhao
,
Yong Xu
,
Zenghong Huang
,
Renquan Lu
Quasisynchronization for Neural Networks With Partial Constrained State Information via Intermittent Control Approach.
IEEE Trans. Cybern.
52 (9) (2022)
Lixin Yang
,
Yong Xu
,
Hong-Xia Rao
,
Yong-Hua Liu
,
Chun-Yi Su
Efficient Measurement Scheduling for Remote State Estimation With Limited Bandwidth.
IEEE Trans. Instrum. Meas.
71 (2022)
Jie Tao
,
Zehui Xiao
,
Hong-Xia Rao
,
Jun Wu
,
Renquan Lu
,
Peng Shi
,
Xiaofeng Wang
Event-Triggered and Asynchronous Reduced-Order Filtering Codesign for Fuzzy Markov Jump Systems.
IEEE Trans. Syst. Man Cybern. Syst.
52 (6) (2022)
Chang Liu
,
Jie Li
,
Ming Lin
,
Yanling Yang
,
Hong-Xia Rao
Finite-time synchronisation for periodic delayed master-slave neural networks with weighted try-once-discard protocol.
Int. J. Syst. Sci.
53 (4) (2022)
Yong Xu
,
Jiayu Zhou
,
Hong-Xia Rao
,
Renquan Lu
,
Lihua Xie
Reset Moving Horizon Estimation for Quantized Discrete Time Systems.
IEEE Trans. Autom. Control.
66 (9) (2021)
Chang Liu
,
Yuru Guo
,
Hong-Xia Rao
,
Ming Lin
,
Yong Xu
Finite-time synchronization for periodic T-S fuzzy master-slave neural networks with distributed delays.
J. Frankl. Inst.
358 (4) (2021)
Yong Xu
,
Lixin Yang
,
Zhuo Wang
,
Hong-Xia Rao
,
Renquan Lu
State Estimation for Networked Systems With Markov Driven Transmission and Buffer Constraint.
IEEE Trans. Syst. Man Cybern. Syst.
51 (12) (2021)
Yong Xu
,
Zebing Huang
,
Hong-Xia Rao
,
Renquan Lu
,
Tingwen Huang
Quasi-Synchronization for Periodic Neural Networks With Asynchronous Target and Constrained Information.
IEEE Trans. Syst. Man Cybern. Syst.
51 (7) (2021)
Hong-Xia Rao
,
Hui Chen
,
Zebing Huang
,
Zenghong Huang
,
Yuru Guo
Lag quasi-synchronization for periodic neural networks with unreliable redundant communication channels.
Neurocomputing
420 (2021)
Zitian Li
,
Zenghong Huang
,
Lixin Yang
,
Jie Li
,
Hong-Xia Rao
State Estimation for Discrete Time Linear Systems with Nonlinear measurements and Round-Robin Protocol.
SPAC
(2021)
Fen Liu
,
Chang Liu
,
Hong-Xia Rao
,
Yong Xu
,
Tingwen Huang
Reliable impulsive synchronization for fuzzy neural networks with mixed controllers.
Neural Networks
143 (2021)
Hong-Xia Rao
,
Yong Xu
,
Hui Peng
,
Renquan Lu
,
Chun-Yi Su
Quasi-Synchronization of Time Delay Markovian Jump Neural Networks With Impulsive-Driven Transmission and Fading Channels.
IEEE Trans. Cybern.
50 (9) (2020)
Hong-Xia Rao
,
Fen Liu
,
Hui Peng
,
Yong Xu
,
Renquan Lu
Observer-Based Impulsive Synchronization for Neural Networks With Uncertain Exchanging Information.
IEEE Trans. Neural Networks Learn. Syst.
31 (10) (2020)
Bin Zhang
,
Hong-Xia Rao
,
Yunsong Deng
,
Hao Wu
,
Yinxia Zhu
Finite horizon state estimation for time-varying neural networks with sensor failure and energy constraint.
Neurocomputing
372 (2020)
Jun-Yi Li
,
Bin Zhang
,
Renquan Lu
,
Yong Xu
,
Hong-Xia Rao
Synchronization for Markovian coupled neural networks with partial mode observation: The finite-time case.
J. Frankl. Inst.
357 (17) (2020)
Hong-Xia Rao
,
Yuru Guo
,
Yong Xu
,
Chang Liu
,
Renquan Lu
Nonfragile Finite-Time Synchronization for Coupled Neural Networks With Impulsive Approach.
IEEE Trans. Neural Networks Learn. Syst.
31 (11) (2020)
Yiting Gan
,
Chang Liu
,
Hui Peng
,
Fen Liu
,
Hong-Xia Rao
Anti-synchronization for periodic BAM neural networks with Markov scheduling protocol.
Neurocomputing
417 (2020)
Chang Liu
,
Fen Liu
,
Hong-Xia Rao
,
Yong Xu
Trajectory Tracking With Constrained Sensors and Unreliable Communication Networks.
IEEE Access
7 (2019)
Hong-Xia Rao
,
Yong Xu
,
Chang Liu
,
Jun-Yi Li
Finite-time control for periodic systems with Markov jump sensor nonlinearities and random input gains.
J. Frankl. Inst.
355 (10) (2018)
Hong-Xia Rao
,
Renquan Lu
,
Yong Xu
,
Chang Liu
State estimation for neural networks with jumping interval weight matrices and transmission delays.
Neurocomputing
275 (2018)
Hui Peng
,
Renquan Lu
,
Yong Xu
,
Hong-Xia Rao
,
Kan Xie
Quantized fuzzy passification for nonlinear systems with Markov-based transmission delays.
J. Frankl. Inst.
354 (4) (2017)
Jun-Yi Li
,
Renquan Lu
,
Yong Xu
,
Hui Peng
,
Hong-Xia Rao
Distributed state estimation for periodic systems with sensor nonlinearities and successive packet dropouts.
Neurocomputing
237 (2017)