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ORCIDYong Xu 0003
Person information
- affiliation: Guangdong University of Technology, School of Automation, Guangzhou, China
- affiliation: Guangdong Key Laboratory of IoT Information Technology, Guangzhou, China
- affiliation (2014): Zhejiang University, Hangzhou, China
- affiliation (former): Hangzhou Dianzi University, Institute of Information and Control, China
- not to be confused with: Yong Xu 0005
Other persons with the same name
- Yong Xu — disambiguation page
- Yong Xu 0001
![[0000-0003-0530-2123]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-0530-2123")
— Harbin Institute of Technology, Shenzhen Graduate School, Bio-Computing Research Centre, China (and 1 more) - Yong Xu 0002 (aka: Eric Yong Xu) — The Chinese University of Hong Kong, Institute of Future Cities, Hong Kong
- Yong Xu 0004 — Tencent America LLC, Seattle, USA (and 2 more)
- Yong Xu 0005 — Zhejiang University, Institute of Cyber-Systems and Control, National Laboratory of Industrial Control Technology, Yuquan Campus, Hangzhou, China
- Yong Xu 0006 — University of Paris-Saclay, France
- Yong Xu 0007 — South China University of Technology, School of Computer Science and Engineering, Guangzhou, China (and 1 more)
- Yong Xu 0008 — Fudan University, Shanghai, China
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2020 – today
- 2024
[j88]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: 485-495 (2024)- [j87]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): 1883-1890 (2024) - [j86]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): 1826-1833 (2024) - [j85]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) - [j84]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) - [j83]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) - [j82]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) - [j81]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): 4218-4226 (2024) - 2023
- [j80]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: 110874 (2023) - [j79]Qi Mao, Yong Xu, Jie Chen, Tryphon T. Georgiou:
Implementation-oriented filtered PID control: Optimization of robustness margins. Autom. 152: 110974 (2023) - [j78]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: 111312 (2023) - [j77]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) - [j76]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) - [j75]Zenghong Huang, Zijie Chen, Chang Liu, Yong Xu, Peng Shi:
Consensus-based distributed moving horizon estimation with constraints. Inf. Sci. 637: 118963 (2023) - [j74]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: 735-745 (2023) - [j73]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: 288-296 (2023) - [j72]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) - [j71]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): 628-635 (2023) - [j70]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): 1642-1654 (2023) - [j69]Yong Xu, Gang Chen, Jie Chen, Li Qiu:
Argument Principle and Integral Relations: Hidden Links and Generalized Forms. IEEE Trans. Autom. Control. 68(3): 1831-1838 (2023) - [j68]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): 2881-2890 (2023) - [j67]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): 1665-1669 (2023) - [j66]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) - [j65]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) - [j64]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): 344-354 (2023) - [j63]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): 2554-2568 (2023) - [j62]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): 5952-5960 (2023) - [j61]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): 527-537 (2023) - [j60]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): 6342-6352 (2023) - [c6]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: 1-6 - 2022
- [j59]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: 110154 (2022) - [j58]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) - [j57]Chang Liu, Lixin Yang, Jie Tao, Yong Xu, Tingwen Huang:
Set-membership filtering for complex networks with constraint communication channels. Neural Networks 152: 479-486 (2022) - [j56]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): 1194-1209 (2022) - [j55]Damián Marelli, Yong Xu, Minyue Fu, Zenghong Huang:
Distributed Newton Optimization With Maximized Convergence Rate. IEEE Trans. Autom. Control. 67(10): 5555-5562 (2022) - [j54]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): 6180-6186 (2022) - [j53]Zhuo Wang, Yuanqing Wu, Yong Xu, Renquan Lu:
An Efficient Algorithm to Determine the Connectivity of Complex Directed Networks. IEEE Trans. Cybern. 52(7): 7164-7171 (2022) - [j52]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) - [j51]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) - [c5]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 - [c4]Qi Mao, Yong Xu, Jie Chen, Tryphon T. Georgiou:
Implementation-Oriented Filtered PID Control: Robustness Margins. CDC 2022: 5511-5516 - 2021
- [j50]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: 154-162 (2021) - [j49]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) - [j48]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) - [j47]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) - [j46]Jun-Yi Li, Bin Zhang, Renquan Lu, Yong Xu, Tingwen Huang:
Distributed H∞ State Estimator Design for Time-Delay Periodic Systems Over Scheduling Sensor Networks. IEEE Trans. Cybern. 51(1): 462-472 (2021) - [j45]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): 1887-1899 (2021) - [j44]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) - [j43]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) - [c3]Qi Mao, Yong Xu, Jianqi Chen, Jie Chen, Tryphon T. Georgiou:
Maximal Gain and Phase Margins Attainable by PID Control. CDC 2021: 1820-1825 - 2020
- [j42]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) - [j41]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) - [j40]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) - [j39]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) - [j38]Yong Xu, Chang Liu, Jun-Yi Li, Chun-Yi Su, Tingwen Huang:
Finite-Horizon H∞ State Estimation for Time-Varying Neural Networks with Periodic Inner Coupling and Measurements Scheduling. IEEE Trans. Syst. Man Cybern. Syst. 50(1): 211-219 (2020) - [j37]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): 1932-1942 (2020) - [j36]Jun-Yi Li, Bin Zhang, Renquan Lu, Yong Xu:
Robust Distributed H∞ State Estimation for Stochastic Periodic Systems Over Constraint Sensor Networks. IEEE Trans. Syst. Man Cybern. Syst. 50(11): 4396-4407 (2020) - [c2]Jianqi Chen, Dan Ma, Yong Xu, Jie Chen:
Tradeoff between Delay Robustness and Tracking Performance by PID Control: Second-Order Unstable Systems. CDC 2020: 5891-5896
2010 – 2019
- 2019
- [j35]Chang Liu, Fen Liu, Hong-Xia Rao, Yong Xu:
Trajectory Tracking With Constrained Sensors and Unreliable Communication Networks. IEEE Access 7: 184866-184874 (2019) - [j34]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): 2737-2749 (2019) - [j33]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): 1695-1704 (2019) - 2018
- [j32]Zongze Wu, Minyue Fu, Yong Xu, Renquan Lu:
A distributed Kalman filtering algorithm with fast finite-time convergence for sensor networks. Autom. 95: 63-72 (2018) - [j31]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: 278-285 (2018) - [j30]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) - [j29]Hui Peng, Renquan Lu, Yong Xu, Feixiong Yao:
Dissipative non-fragile state estimation for Markovian complex networks with coupling transmission delays. Neurocomputing 275: 1576-1584 (2018) - [j28]Hui Peng, Peng Shi, Yong Xu:
Passive state estimator design for Markovian complex networks with polytopic sensor failures. Neurocomputing 307: 205-212 (2018) - [j27]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) - [j26]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): 5790-5810 (2018) - [j25]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): 336-345 (2018) - [j24]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): 1011-1022 (2018) - [j23]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): 845-855 (2018) - [j22]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): 1888-1899 (2018) - [j21]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): 5149-5158 (2018) - [j20]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): 1841-1850 (2018) - 2017
- [j19]Jinfeng Gao, Yong Xu, Renquan Lu:
Output Regulation of Linear Singular Multi-Agent Systems. Circuits Syst. Signal Process. 36(3): 931-946 (2017) - [j18]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) - [j17]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: 56-63 (2017) - [j16]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): 2985-2996 (2017) - [j15]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) - [j14]Deyin Yao, Renquan Lu, Yong Xu, Lijie Wang:
Robust H∞ filtering for Markov jump systems with mode-dependent quantized output and partly unknown transition probabilities. Signal Process. 137: 328-338 (2017) - [j13]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): 268-277 (2017) - [j12]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): 630-638 (2017) - 2016
- [j11]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): 507-517 (2016) - [j10]Renquan Lu, Shuang Liu, Hui Peng, Yong Xu, Kan Xie:
Non-fragile filtering for fuzzy stochastic systems over fading channel. Neurocomputing 174: 553-559 (2016) - [j9]Yong Xu, Renquan Lu, Ke-Xia Zhou, Zuxin Li:
Nonfragile asynchronous control for fuzzy Markov jump systems with packet dropouts. Neurocomputing 175: 443-449 (2016) - [j8]Yong Xu, Renquan Lu, Jie Tao, Hui Peng, Kan Xie:
Nonfragile l2-l∞ state estimation for discrete-time neural networks with jumping saturations. Neurocomputing 207: 15-21 (2016) - [j7]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): 144-159 (2016) - [j6]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): 4368-4383 (2016) - [j5]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): 1794-1809 (2016) - [j4]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): 6999-7007 (2016) - [j3]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): 740-749 (2016) - 2013
- [j2]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): 5206-5213 (2013) - 2010
- [j1]Renquan Lu, Yong Xu, Anke Xue:
H∞ filtering for singular systems with communication delays. Signal Process. 90(4): 1240-1248 (2010)
2000 – 2009
- 2009
- [c1]Renquan Lu, Yong Xu, Xiaodong Zhao, Anke Xue, Hongye Su:
H∞ filtering for singular systems with communication delays. CDC 2009: 4105-4110
Coauthor Index
[j80] [j78] [j73] [j72] [j70] [j64] [j63] [j62] [j59] [j54] [j53] [j52] [j47] [j46] [j45] [j44] [j43] [j42] [j41] [j40] [j39] [j37] [j36] [j34] [j33] [j32] [j31] [j30] [j29] [j25] [j24] [j23] [j22] [j21] [j20] [j19] [j18] [j17] [j16] [j15] [j14] [j13] [j12] [j11] [j10] [j9] [j8] [j7] [j6] [j4] [j3] [j2] [j1] [c1]
Hong-Xia Rao
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aka: Hongxia Rao
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