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Hong-Xia Rao
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- affiliation: Guangdong University of Technology, Guangzhou, China
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2020 – today
- 2024
- [j36]Yumei Zhou, Xiantao Luo, Zijing Xiao, Jian Huang, Hongxia Rao, Yao Zhao:
Synchronization for neural networks over event-triggered multi-channel: Relay channels under cyber-attacks. Neurocomputing 583: 127503 (2024) - [j35]Hongxia Rao, Yun Long, Yao Zhao, Zijing Xiao, Chang Liu:
Finite-time synchronisation for Markovian master-slave neural networks with weighted try-once-discard protocol and static intermittent control. Int. J. Syst. Sci. 55(10): 2108-2121 (2024) - [j34]Weijun Lv, Yong Xu, Zenghong Huang, Hongxia Rao, Ling Shi:
Hybrid Transmission Scheduling Protocol for State Estimation Over a Constrained Channel. IEEE Trans. Control. Netw. Syst. 11(2): 1024-1034 (2024) - [j33]Jie Tao, Ruipeng Liang, Jiaxiang Su, Zehui Xiao, Hongxia Rao, Yong Xu:
Dynamic Event-Triggered Synchronization of Markov Jump Neural Networks via Sliding Mode Control. IEEE Trans. Cybern. 54(4): 2515-2524 (2024) - [j32]Chang Liu, Hongxia Rao, Xinxin Yu, Yong Xu, Chun-Yi Su:
State Estimation for Recurrent Neural Networks With Intermittent Transmission. IEEE Trans. Cybern. 54(5): 2891-2900 (2024) - [j31]Hongxia Rao, Lijie Xie, Jiapeng Yang, Yong Xu, Weijun Lv, Zongkai Zheng, Yihui Deng, Haotian Guo:
Puffin Platform: A Morphable Unmanned Aerial/Underwater Vehicle With Eight Propellers. IEEE Trans. Ind. Electron. 71(7): 7621-7630 (2024) - 2023
- [j30]Ming Lin, Jie Li, Yan-Ni Zeng, Chang Liu, Hongxia Rao:
Set-Membership Filtering for Time-Varying Complex Networks with Randomly Varying Nonlinear Coupling Structure. Circuits Syst. Signal Process. 42(9): 5233-5251 (2023) - [j29]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: 194-202 (2023) - [j28]Yumei Zhou, Yuru Guo, Chang Liu, Hui Peng, Hongxia Rao:
Synchronization for Markovian master-slave neural networks: an event-triggered impulsive approach. Int. J. Syst. Sci. 54(12): 2551-2565 (2023) - [j27]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): 574-596 (2023) - [j26]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: 228-237 (2023) - [j25]Jie Tao, Muxi Xu, Depeng Chen, Zehui Xiao, Hongxia Rao, Yong Xu:
Event-Triggered Resilient Filtering With the Interval Type Uncertainty for Markov Jump Systems. IEEE Trans. Cybern. 53(12): 7834-7843 (2023) - [j24]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): 2565-2573 (2023) - 2022
- [j23]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: 488-495 (2022) - [j22]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): 675-688 (2022) - [j21]Lixin Yang, Hong-Xia Rao, Ming Lin, Yong Xu, Peng Shi:
Optimal sensor scheduling for remote state estimation with limited bandwidth: a deep reinforcement learning approach. Inf. Sci. 588: 279-292 (2022) - [j20]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): 8827-8837 (2022) - [j19]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: 1-12 (2022) - [j18]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): 3937-3946 (2022) - [c3]Chengzi Li, Qian Yang, Yiwen Cao, Hongxia Rao, Yong Xu:
Sequential Covariance Intersection Based on the Upper Bound of Correlation Coefficient. ASCC 2022: 1704-1709 - [c2]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: 948-953 - 2021
- [j17]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: 329-336 (2021) - [j16]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): 2367-2381 (2021) - [j15]Fen Liu, Chang Liu, Hong-Xia Rao, Yong Xu, Tingwen Huang:
Reliable impulsive synchronization for fuzzy neural networks with mixed controllers. Neural Networks 143: 759-766 (2021) - [j14]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): 4199-4205 (2021) - [j13]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): 4379-4388 (2021) - [j12]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): 7727-7734 (2021) - [c1]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: 445-450 - 2020
- [j11]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: 1-7 (2020) - [j10]Yiting Gan, Chang Liu, Hui Peng, Fen Liu, Hong-Xia Rao:
Anti-synchronization for periodic BAM neural networks with Markov scheduling protocol. Neurocomputing 417: 585-592 (2020) - [j9]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): 12767-12786 (2020) - [j8]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): 4121-4131 (2020) - [j7]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): 3777-3787 (2020) - [j6]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): 4980-4989 (2020)
2010 – 2019
- 2019
- [j5]Chang Liu, Fen Liu, Hong-Xia Rao, Yong Xu:
Trajectory Tracking With Constrained Sensors and Unreliable Communication Networks. IEEE Access 7: 184866-184874 (2019) - 2018
- [j4]Hong-Xia Rao, Renquan Lu, Yong Xu, Chang Liu:
State estimation for neural networks with jumping interval weight matrices and transmission delays. Neurocomputing 275: 909-915 (2018) - [j3]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): 4097-4110 (2018) - 2017
- [j2]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: 50-58 (2017) - [j1]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): 1875-1891 (2017)
Coauthor Index
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