Distributed state estimation for periodic systems with sensor nonlinearities and successive packet dropouts. - Jun-Yi Li; Renquan Lu; Yong Xu 003; Hui Peng 003; Hong-Xia Rao (Neurocomputing, 2017)

Quantized fuzzy passification for nonlinear systems with Markov-based transmission delays. - Hui Peng 003; Renquan Lu; Yong Xu 003; Hong-Xia Rao; Kan Xie (J. Frankl. Inst., 2017)

State estimation for neural networks with jumping interval weight matrices and transmission delays. - Hong-Xia Rao; Renquan Lu; Yong Xu 003; Chang Liu 020 (Neurocomputing, 2018)

Finite-time control for periodic systems with Markov jump sensor nonlinearities and random input gains. - Hong-Xia Rao; Yong Xu 003; Chang Liu 020; Jun-Yi Li (J. Frankl. Inst., 2018)

Trajectory Tracking With Constrained Sensors and Unreliable Communication Networks. - Chang Liu 020; Fen Liu; Hong-Xia Rao; Yong Xu 003 (IEEE Access, 2019)

Anti-synchronization for periodic BAM neural networks with Markov scheduling protocol. - Yiting Gan; Chang Liu 020; Hui Peng 003; Fen Liu; Hong-Xia Rao (Neurocomputing, 2020)

Finite horizon state estimation for time-varying neural networks with sensor failure and energy constraint. - Bin Zhang 026; Hong-Xia Rao; Yunsong Deng; Hao Wu; Yinxia Zhu (Neurocomputing, 2020)

Synchronization for Markovian coupled neural networks with partial mode observation: The finite-time case. - Jun-Yi Li; Bin Zhang 026; Renquan Lu; Yong Xu 003; Hong-Xia Rao (J. Frankl. Inst., 2020)

Quasi-Synchronization of Time Delay Markovian Jump Neural Networks With Impulsive-Driven Transmission and Fading Channels. - Hong-Xia Rao; Yong Xu 003; Hui Peng 003; Renquan Lu; Chun-Yi Su (IEEE Trans. Cybern., 2020)

Nonfragile Finite-Time Synchronization for Coupled Neural Networks With Impulsive Approach. - Hong-Xia Rao; Yuru Guo; Yong Xu 003; Chang Liu 020; Renquan Lu (IEEE Trans. Neural Networks Learn. Syst., 2020)

Observer-Based Impulsive Synchronization for Neural Networks With Uncertain Exchanging Information. - Hong-Xia Rao; Fen Liu; Hui Peng 003; Yong Xu 003; Renquan Lu (IEEE Trans. Neural Networks Learn. Syst., 2020)

State Estimation for Discrete Time Linear Systems with Nonlinear measurements and Round-Robin Protocol. - Zitian Li; Zenghong Huang; Lixin Yang 004; Jie Li; Hong-Xia Rao (SPAC, 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)

Finite-time synchronization for periodic T-S fuzzy master-slave neural networks with distributed delays. - Chang Liu 020; Yuru Guo; Hong-Xia Rao; Ming Lin; Yong Xu 003 (J. Frankl. Inst., 2021)

Reliable impulsive synchronization for fuzzy neural networks with mixed controllers. - Fen Liu; Chang Liu 020; Hong-Xia Rao; Yong Xu 003; Tingwen Huang (Neural Networks, 2021)

Reset Moving Horizon Estimation for Quantized Discrete Time Systems. - Yong Xu 003; Jiayu Zhou; Hong-Xia Rao; Renquan Lu; Lihua Xie 001 (IEEE Trans. Autom. Control., 2021)

Quasi-Synchronization for Periodic Neural Networks With Asynchronous Target and Constrained Information. - Yong Xu 003; Zebing Huang; Hong-Xia Rao; Renquan Lu; Tingwen Huang (IEEE Trans. Syst. Man Cybern. Syst., 2021)

State Estimation for Networked Systems With Markov Driven Transmission and Buffer Constraint. - Yong Xu 003; Lixin Yang 004; Zhuo Wang 003; Hong-Xia Rao; Renquan Lu (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Sequential Covariance Intersection Based on the Upper Bound of Correlation Coefficient. - Chengzi Li; Qian Yang; Yiwen Cao; Hongxia Rao; Yong Xu 003 (ASCC, 2022)

Finite-time Cluster Synchronization Control of Cyber-Physical Systems under Cyber Attack. - Yang-Cheng Huang; Jun-Yi Li; Hong-Xia Rao; Hui Chen (ICCA, 2022)

Reliable state estimation for neural networks with TOD protocol and mixed compensation. - Hui Chen; Yao Li; Chang Liu 020; Ming Lin; Hong-Xia Rao (Neurocomputing, 2022)

Finite-time synchronisation for periodic delayed master-slave neural networks with weighted try-once-discard protocol. - Chang Liu 020; Jie Li; Ming Lin; Yanling Yang; Hong-Xia Rao (Int. J. Syst. Sci., 2022)

Optimal sensor scheduling for remote state estimation with limited bandwidth: a deep reinforcement learning approach. - Lixin Yang 004; Hong-Xia Rao; Ming Lin; Yong Xu 003; Peng Shi 001 (Inf. Sci., 2022)

Quasisynchronization for Neural Networks With Partial Constrained State Information via Intermittent Control Approach. - Hong-Xia Rao; Liwei Zhao; Yong Xu 003; Zenghong Huang; Renquan Lu (IEEE Trans. Cybern., 2022)

Efficient Measurement Scheduling for Remote State Estimation With Limited Bandwidth. - Lixin Yang 004; Yong Xu 003; Hong-Xia Rao; Yong-Hua Liu; Chun-Yi Su (IEEE Trans. Instrum. Meas., 2022)

Event-Triggered and Asynchronous Reduced-Order Filtering Codesign for Fuzzy Markov Jump Systems. - Jie Tao; Zehui Xiao; Hong-Xia Rao; Jun Wu 003; Renquan Lu; Peng Shi 001; Xiaofeng Wang 007 (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Set-Membership Filtering for Time-Varying Complex Networks with Randomly Varying Nonlinear Coupling Structure. - Ming Lin; Jie Li; Yan-Ni Zeng; Chang Liu 020; Hongxia Rao (Circuits Syst. Signal Process., 2023)

Pinning synchronization for markovian jump neural networks with uncertain impulsive effects. - Yuru Guo; Zenghong Huang; Lixin Yang 004; Hong-Xia Rao; Hui Chen; Yong Xu 003 (Neurocomputing, 2023)

Reliable mixed H2/H∞ distributed estimation for periodic nonlinear systems with jumping topology. - Ming Lin; Yan-Ni Zeng; Hui Chen; Chang Liu 020; Hong-Xia Rao (J. Frankl. Inst., 2023)

Learning Optimal Stochastic Sensor Scheduling for Remote Estimation With Channel Capacity Constraint. - Lixin Yang 004; Yong Xu 003; Zenghong Huang; Hong-Xia Rao; Daniel E. Quevedo (IEEE Trans. Ind. Informatics, 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 003; Renquan Lu (Neural Networks, 2023)

Synchronization for Markovian master-slave neural networks: an event-triggered impulsive approach. - Yumei Zhou; Yuru Guo; Chang Liu 020; Hui Peng 003; Hongxia Rao (Int. J. Syst. Sci., 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 003 (IEEE Trans. Cybern., 2023)

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)

Puffin Platform: A Morphable Unmanned Aerial/Underwater Vehicle With Eight Propellers. - Hongxia Rao; Lijie Xie; Jiapeng Yang; Yong Xu 003; Weijun Lv; Zongkai Zheng; Yihui Deng; Haotian Guo (IEEE Trans. Ind. Electron., 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 003 (IEEE Trans. Cybern., 2024)

State Estimation for Recurrent Neural Networks With Intermittent Transmission. - Chang Liu 020; Hongxia Rao; Xinxin Yu; Yong Xu 003; Chun-Yi Su (IEEE Trans. Cybern., 2024)

Hybrid Transmission Scheduling Protocol for State Estimation Over a Constrained Channel. - Weijun Lv; Yong Xu 003; Zenghong Huang; Hongxia Rao; Ling Shi 001 (IEEE Trans. Control. Netw. Syst., 2024)

Finite-time synchronisation for Markovian master-slave neural networks with weighted try-once-discard protocol and static intermittent control. - Hongxia Rao; Yun Long; Yao Zhao; Zijing Xiao; Chang Liu 020 (Int. J. Syst. Sci., 2024)

Synchronization of Markov Jump Neural Networks With Communication Constraints via Asynchronous Output Feedback Control. - Jie Tao; Zhenyu Wu; Zehui Xiao; Hongxia Rao; Yong Xu 003; Peng Shi 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Anti-Quasisynchronization for Asynchronous Leader-Follower Markovian Neural Networks With Hidden Markov Model-Based Intermittent Control. - Zijing Xiao; Meng Zhang 011; Hongxia Rao; Chang Liu 020; Yong Xu 003 (IEEE Trans. Cybern., 2025)