Yong Xu

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 85

Top Topics

Kalman Filtering

State Estimation

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

IEEE Trans. Autom. Control.

IEEE Trans. Syst. Man Cybern. Syst.

Publications

Lixin Yang, Yong Xu, Weijun Lv, Jun-Yi Li, Ling Shi
Optimal Transmission Scheduling Over Multihop Networks: Structural Results and Reinforcement Learning. IEEE Trans. Autom. Control. 69 (3) (2024)
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) (2024)
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) (2024)
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) (2024)
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) (2024)
Yumei Zhou, Weijun Lv, Jie Tao, Yong Xu, Tingwen Huang, Leszek Rutkowski
Event-triggered impulsive quasi-synchronization for BAM neural networks with reliable redundant channel. Neural Networks 169 (2024)
Zenghong Huang, Weijun Lv, Chang Liu, Yong Xu, Leszek Rutkowski, Tingwen Huang
Event-Triggered Distributed Moving Horizon Estimation Over Wireless Sensor Networks. IEEE Trans. Ind. Informatics 20 (3) (2024)
Zijie Chen, Yong Xu, Shenghai Yuan, Lihua Xie
iG-LIO: An Incremental GICP-Based Tightly-Coupled LiDAR-Inertial Odometry. IEEE Robotics Autom. Lett. 9 (2) (2024)
Yuru Guo, Chang Liu, Yonghua Liu, Yong Xu, Renquan Lu, Tingwen Huang
Bounded synchronization for uncertain master-slave neural networks: An adaptive impulsive control approach. Neural Networks 162 (2023)
Chang Liu, Yuru Guo, Zhuo Wang, Yong Xu, Chun-Yi Su
State Estimation for Nonuniformly Sampled Neural Networks With Hidden Information. IEEE Trans. Syst. Man Cybern. Syst. 53 (10) (2023)
Zenghong Huang, Yuru Guo, Hui Peng, Yong Xu
Distributed Moving Horizon Estimation Over Wireless Sensor Networks: A Matrix-Weighted Consensus Approach. IEEE Trans. Circuits Syst. II Express Briefs 70 (4) (2023)
Jun-Yi Li, Zidong Wang, Renquan Lu, Yong Xu
Cluster Synchronization Control for Discrete-Time Complex Dynamical Networks: When Data Transmission Meets Constrained Bit Rate. IEEE Trans. Neural Networks Learn. Syst. 34 (5) (2023)
Jun-Yi Li, Zidong Wang, Renquan Lu, Yong Xu
A component-based coding-decoding approach to set-membership filtering for time-varying systems under constrained bit rate. Autom. 152 (2023)
Hui Peng, Boru Zeng, Lixin Yang, Yong Xu, Renquan Lu
Distributed Extended State Estimation for Complex Networks With Nonlinear Uncertainty. IEEE Trans. Neural Networks Learn. Syst. 34 (9) (2023)
Jun-Yi Li, Zidong Wang, Renquan Lu, Yong Xu
Distributed Filtering Under Constrained Bit Rate Over Wireless Sensor Networks: Dealing With Bit Rate Allocation Protocol. IEEE Trans. Autom. Control. 68 (3) (2023)
Chang Liu, Zhuo Wang, Renquan Lu, Tingwen Huang, Yong Xu
Finite-Time Estimation for Markovian BAM Neural Networks With Asymmetrical Mode-Dependent Delays and Inconstant Measurements. IEEE Trans. Neural Networks Learn. Syst. 34 (1) (2023)
Yunsong Deng, Zenghong Huang, Yijin Jia, Yong Xu, Peng Shi
Distributed Estimation and Smoothing for Linear Dynamic Systems Over Sensor Networks. IEEE Trans. Circuits Syst. I Regul. Pap. 70 (7) (2023)
Lixin Yang, Jie Tao, Yong-Hua Liu, Yong Xu, Chun-Yi Su
Energy scheduling for DoS attack over multi-hop networks: Deep reinforcement learning approach. Neural Networks 161 (2023)
Qi Mao, Yong Xu, Jie Chen, Tryphon T. Georgiou
Implementation-oriented filtered PID control: Optimization of robustness margins. Autom. 152 (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)
Yong Xu, Yunsong Deng, Zenghong Huang, Ming Lin, Peng Shi
Distributed State Estimation Over Sensor Networks With Substate Decomposition Approach. IEEE Trans. Netw. Sci. Eng. 10 (1) (2023)
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) (2023)
Yuru Guo, Zidong Wang, Yezheng Wang, Yong Xu
Ultimately Bounded State Estimation for Discrete-Time Singularly Perturbed Complex Networks Under Bit Rate Constraints. ICAC (2023)
Jiayu Zhou, Wen Yang, Wenjie Ding, Wei Xing Zheng, Yong Xu
Watermarking-Based Protection Strategy Against Stealthy Integrity Attack on Distributed State Estimation. IEEE Trans. Autom. Control. 68 (1) (2023)
Yong Xu, Gang Chen, Jie Chen, Li Qiu
Argument Principle and Integral Relations: Hidden Links and Generalized Forms. IEEE Trans. Autom. Control. 68 (3) (2023)
Yong Xu, Haoxiang Xiang, Lixin Yang, Renquan Lu, Daniel E. Quevedo
Optimal transmission strategy for multiple Markovian fading channels: Existence, structure, and approximation. Autom. 158 (2023)
Yong Xu, Zheng-Guang Wu, Wei-Wei Che, Deyuan Meng
Reinforcement learning-based unknown reference tracking control of HMASs with nonidentical communication delays. Sci. China Inf. Sci. 66 (7) (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)
Yong Xu, Zhaozhan Yao, Renquan Lu, Bijoy K. Ghosh
A Novel Fixed-Time Protocol for First-Order Consensus Tracking With Disturbance Rejection. IEEE Trans. Autom. Control. 67 (11) (2022)
Jianqi Chen, Dan Ma, Yong Xu, Jie Chen
Delay Robustness of PID Control of Second-Order Systems: Pseudoconcavity, Exact Delay Margin, and Performance Tradeoff. IEEE Trans. Autom. Control. 67 (3) (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)
Damián Marelli, Yong Xu, Minyue Fu, Zenghong Huang
Distributed Newton Optimization With Maximized Convergence Rate. IEEE Trans. Autom. Control. 67 (10) (2022)
Zhuo Wang, Yuanqing Wu, Yong Xu, Renquan Lu
An Efficient Algorithm to Determine the Connectivity of Complex Directed Networks. IEEE Trans. Cybern. 52 (7) (2022)
Yong Xu, Weijun Lv, Weiqun Lin, Renquan Lu, Daniel E. Quevedo
On extended state estimation for nonlinear uncertain systems with round-robin protocol. Autom. 138 (2022)
Lixin Yang, Hongxia 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 (2022)
Chang Liu, Lixin Yang, Jie Tao, Yong Xu, Tingwen Huang
Set-membership filtering for complex networks with constraint communication channels. Neural Networks 152 (2022)
Jun-Yi Li, Zidong Wang, Renquan Lu, Yong Xu
Partial-Nodes-Based State Estimation for Complex Networks With Constrained Bit Rate. IEEE Trans. Netw. Sci. Eng. 8 (2) (2021)
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)
Shenghuang He, Yong Xu, Yuanqing Wu, Yanzhou Li, Wenjian Zhong
Adaptive consensus tracking of multi-robotic systems via using integral sliding mode control. Neurocomputing 455 (2021)
Jun-Yi Li, Bin Zhang, Renquan Lu, Yong Xu, Tingwen Huang
State Estimator Design for Time-Delay Periodic Systems Over Scheduling Sensor Networks. IEEE Trans. Cybern. 51 (1) (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)
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)
Jun-Yi Li, Bin Zhang, Renquan Lu, Yong Xu
State Estimation for Stochastic Periodic Systems Over Constraint Sensor Networks. IEEE Trans. Syst. Man Cybern. Syst. 50 (11) (2020)
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)
Hongru Ren, Renquan Lu, Junlin Xiong, Yong Xu
Optimal Estimation for Discrete-Time Linear System with Communication Constraints and Measurement Quantization. IEEE Trans. Syst. Man Cybern. Syst. 50 (5) (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)
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)
Yong Xu, Chang Liu, Jun-Yi Li, Chun-Yi Su, Tingwen Huang
State Estimation for Time-Varying Neural Networks with Periodic Inner Coupling and Measurements Scheduling. IEEE Trans. Syst. Man Cybern. Syst. 50 (1) (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)
Hui Peng, Renquan Lu, Peng Shi, Yong Xu
Reduced-order filtering for networks with Markovian jumping parameters and missing measurements. Int. J. Control 92 (12) (2019)
Chang Liu, Fen Liu, Hong-Xia Rao, Yong Xu
Trajectory Tracking With Constrained Sensors and Unreliable Communication Networks. IEEE Access 7 (2019)
Yong Xu, Jun-Yi Li, Renquan Lu, Chang Liu, Yuanqing Wu
Finite-Horizon $l_2-l_\infty$ Synchronization for Time-Varying Markovian Jump Neural Networks Under Mixed-Type Attacks: Observer-Based Case. IEEE Trans. Neural Networks Learn. Syst. 30 (6) (2019)
Jiayu Zhou, Yong Xu, Jun-Yi Li, Yachao Li
Robust state estimation for discrete time systems with colored noises and communication constraints. J. Frankl. Inst. 355 (13) (2018)
Yong Xu, Zhuo Wang, Deyin Yao, Renquan Lu, Chun-Yi Su
State Estimation for Periodic Neural Networks With Uncertain Weight Matrices and Markovian Jump Channel States. IEEE Trans. Syst. Man Cybern. Syst. 48 (11) (2018)
Yong Xu, Jiu-Gang Dong, Renquan Lu, Lihua Xie
Stability of continuous-time positive switched linear systems: A weak common copositive Lyapunov functions approach. Autom. 97 (2018)
Hui Peng, Peng Shi, Yong Xu
Passive state estimator design for Markovian complex networks with polytopic sensor failures. Neurocomputing 307 (2018)
Yong Xu, Renquan Lu, Hui Peng, Shengli Xie
Filtering for Fuzzy Systems With Multiplicative Sensor Noises and Multidensity Quantizer. IEEE Trans. Fuzzy Syst. 26 (2) (2018)
Renquan Lu, Jie Tao, Peng Shi, Hongye Su, Zheng-Guang Wu, Yong Xu
Dissipativity-Based Resilient Filtering of Periodic Markovian Jump Neural Networks With Quantized Measurements. IEEE Trans. Neural Networks Learn. Syst. 29 (5) (2018)
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)
Zongze Wu, Minyue Fu, Yong Xu, Renquan Lu
A distributed Kalman filtering algorithm with fast finite-time convergence for sensor networks. Autom. 95 (2018)
Yong Xu, Chang Liu, Renquan Lu, Chun-Yi Su
Remote Estimator Design for Time-Delay Neural Networks Using Communication State Information. IEEE Trans. Neural Networks Learn. Syst. 29 (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)
Yong Xu, Renquan Lu, Peng Shi, Jie Tao, Shengli Xie
Robust Estimation for Neural Networks With Randomly Occurring Distributed Delays and Markovian Jump Coupling. IEEE Trans. Neural Networks Learn. Syst. 29 (4) (2018)
Yong Xu, Renquan Lu, Peng Shi, Hongyi Li, Shengli Xie
Finite-Time Distributed State Estimation Over Sensor Networks With Round-Robin Protocol and Fading Channels. IEEE Trans. Cybern. 48 (1) (2018)
Hui Peng, Renquan Lu, Yong Xu, Feixiong Yao
Dissipative non-fragile state estimation for Markovian complex networks with coupling transmission delays. Neurocomputing 275 (2018)
Deyin Yao, Renquan Lu, Yong Xu, Hongru Ren
Observer-based sliding mode control of Markov jump systems with random sensor delays and partly unknown transition rates. Int. J. Syst. Sci. 48 (14) (2017)
Jinfeng Gao, Yong Xu, Renquan Lu
Output Regulation of Linear Singular Multi-Agent Systems. Circuits Syst. Signal Process. 36 (3) (2017)
Zhuo Wang, Yong Xu, Renquan Lu, Hui Peng
Finite-Time State Estimation for Coupled Markovian Neural Networks With Sensor Nonlinearities. IEEE Trans. Neural Networks Learn. Syst. 28 (3) (2017)
Yong Xu, Renquan Lu, Hui Peng, Kan Xie, Anke Xue
Asynchronous Dissipative State Estimation for Stochastic Complex Networks With Quantized Jumping Coupling and Uncertain Measurements. IEEE Trans. Neural Networks Learn. Syst. 28 (2) (2017)
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)
Deyin Yao, Renquan Lu, Yong Xu, Lijie Wang
filtering for Markov jump systems with mode-dependent quantized output and partly unknown transition probabilities. Signal Process. 137 (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)
Jie Tao, Renquan Lu, Hongye Su, Zheng-Guang Wu, Yong Xu
Dissipativity-based asynchronous state estimation for Markov jump neural networks with jumping fading channels. Neurocomputing 241 (2017)
Renquan Lu, Shuang Liu, Hui Peng, Yong Xu, Kan Xie
Non-fragile filtering for fuzzy stochastic systems over fading channel. Neurocomputing 174 (2016)
Renquan Lu, Yong Xu, Ridong Zhang
A New Design of Model Predictive Tracking Control for Networked Control System Under Random Packet Loss and Uncertainties. IEEE Trans. Ind. Electron. 63 (11) (2016)
Renquan Lu, Su-Su Zhao, Yuan-Qing Wu, Yong Xu
Finite-time bounded control for a class of stochastic nonlinear systems with randomly quantized measurements. J. Frankl. Inst. 353 (17) (2016)
Yong Xu, Renquan Lu, Hui Peng, Jian Chen
Passive filter design for periodic stochastic systems with quantized measurements and randomly occurring nonlinearities. J. Frankl. Inst. 353 (1) (2016)
Yong Xu, Renquan Lu, Ke-Xia Zhou, Zuxin Li
Nonfragile asynchronous control for fuzzy Markov jump systems with packet dropouts. Neurocomputing 175 (2016)
Renquan Lu, Sheng-Ge Chen, Yong Xu, Hui Peng, Kan Xie
State estimation for complex networks with randomly varying nonlinearities and sensor failures. Complex. 21 (S2) (2016)
Zhijun Li, Jun Deng, Renquan Lu, Yong Xu, Jianjun Bai, Chun-Yi Su
Trajectory-Tracking Control of Mobile Robot Systems Incorporating Neural-Dynamic Optimized Model Predictive Approach. IEEE Trans. Syst. Man Cybern. Syst. 46 (6) (2016)
Hong Lin, Hongye Su, Zhan Shu, Zheng-Guang Wu, Yong Xu
Optimal Estimation in UDP-Like Networked Control Systems With Intermittent Inputs: Stability Analysis and Suboptimal Filter Design. IEEE Trans. Autom. Control. 61 (7) (2016)
Yong Xu, Renquan Lu, Jie Tao, Hui Peng, Kan Xie
state estimation for discrete-time neural networks with jumping saturations. Neurocomputing 207 (2016)
Renquan Lu, Yong Xu, Anke Xue, Jinchuan Zheng
Networked Control With State Reset and Quantized Measurements: Observer-Based Case. IEEE Trans. Ind. Electron. 60 (11) (2013)
Renquan Lu, Yong Xu, Anke Xue
filtering for singular systems with communication delays. Signal Process. 90 (4) (2010)
Renquan Lu, Yong Xu, Xiaodong Zhao, Anke Xue, Hongye Su
filtering for singular systems with communication delays. CDC (2009)