陆宏谦

发布者：纪鹏发布时间：2019-12-29浏览次数：10716

简介            

陆宏谦

工学博士(后)、教授、硕士生导师


2009年毕业于东华大学，获工学博士学位。

2016年在东华大学完成博士后研究工作。

2019年在澳大利亚麦考瑞大学访学

2009年在必赢国际电子游戏网站电气工程与自动化学院工作。

联系方式： hqlu@qlu.edu.cn

研究领域         

网络控制与同步、复杂网络稳定性与同步、鲁棒控制、工业过程控制、3D打印等。

主讲课程                                                                                                            

《计算机控制》、《电路与模拟电子技术》、《自动控制原理》、《智能仪器设计基础》、《电力电子》、《数据结构与算法分析》、《C++程序设计》、《运筹学》、《计算机测控技术》等。

论文、著作(*表示通讯作者)                                                                                                            

  1. X Song, *Hongqian Lu, Y Xu, W Zhou，H∞ synchronization of semi-Markovian jump neural networks with random sensor nonlinearities via adaptive event-triggered output feedback control，Mathematics and Computers in Simulation，2022，198：1-9，https://doi.org/10.1016/j.matcom.2022.02.008

  2. Yao Xu,*Hongqian Lu,Xingxing Song,Wuneng Zhou，Event-triggered H control for Markov jump delayed neural networks with redundant channels，Optimal Control Applications and Methods,2022，https://doi.org/10.1002/oca.2851

  3. Xu Y, Wang R, Hongqian Lu, Song X, Deng Y, Zhou W. Adaptive Event-Triggered Synchronization of Networked Neural Networks with Time-Varying Delay Subject to Actuator Saturation. COMPLEXITY 2021, 2021, https://doi.org/10.1155/2021/9957624.

  4. Hongqian Lu, Deng Y, Zhou W. Hierarchical type stability and stabilization of networked control systems with event-triggered mechanism via canonical Bessel–Legendre inequalities. Journal of the Franklin Institute 2021, 358(13): 6592-6611, https://doi.org/10.1016/j.jfranklin.2021.06.024.

  5. Deng Y, *Hongqian Lu, Zhou W. Security event-triggered control for markovian jump neural networks against actuator saturation and hybrid cyber attacks. Journal of the Franklin Institute 2021, 358(14): 7096-7118, https://doi.org/10.1016/j.jfranklin.2021.07.022.

  6. Hongqian Lu, Guo C, Hu Y, Zhou W, Yan S. Improved Distributed Event-Triggered Control for Networked Control System under Random Cyberattacks via Bessel–Legendre Inequalities. COMPLEXITY 2020, 2020, https://doi.org/10.1155/2020/1583286.

  7. Hongqian Lu, Deng Y, Zhou W. Adaptive Event-Triggered H∞ Control for Networked Control Systems with Actuator Saturation and Random Nonlinearities. IEEE ACCESS 2020, https://doi.org/10.1109/ACCESS.2020.3043337.

  8. Hongqian Lu, Deng Y, Xu Y, Zhou W. Event-Triggered H∞ Filtering for Networked Systems Under Hybrid Probability Deception Attacks. IEEE ACCESS 2020, 8: 192030-192040, https://doi.org/10.1109/ACCESS.2020.3032717.

  9. Hongqian Lu, Hu Y, Guo C, Zhou W. New results on state estimation and stability analysis based H∞ control for multi-delay hybrid stochastic neural network. INT J SYST SCI 2020, 51(2): 334-347, https://doi.org/10.1080/00207721.2019.1704915.

  10. Hongqian Lu, Hu Y, Guo C, Zhou W. Cluster synchronization for a class of complex dynamical network system with randomly occurring coupling delays via an improved event-triggered pinning control approach. Journal of the Franklin Institute 2020, 357(4): 2167-2184,http://10.1016/j.jfranklin.2019.11.076.

  11. Hongqian Lu, Hu Y, Guo C, Zhou W. New stability criteria for event-triggered nonlinear networked control system with time delay. COMPLEXITY 2019,  https://doi.org/10.1155/2019/1648576.

  12. Hongqian Lu, Guo C, Hu Y, Zhou W. Event-Triggered Stability Analysis of Semi-Markovian Jump Networked Control System with Actuator Faults and Time-Varying Delay via Bessel–Legendre Inequalities. COMPLEXITY 2019, 2019, https://doi.org/10.1155/2019/6927528.

  13. Hongqian Lu, Hu Y, Guo C, Zhou W. State Estimation-Based Event-Triggered $ H_\infty $ Control for Multi-Delay Stochastic Network Control System. IEEE ACCESS 2018, 6: 74091-74103, https://doi.org/10.1109/ACCESS.2018.2882143.

  14. Hongqian Lu, Guo C, Hu Y. Robust $ H_ {\infty} $ Control of Lurie Nonlinear Stochastic Network Control Systems With Multiple Additive Time-Varying Delay Components. IEEE ACCESS 2018, 7: 3390-3405, https://doi.org/10.1109/ACCESS.2018.2886966.

  15. Duan C, *Hongqian Lu. A novel framework for shock filter using partial differential equations. ENTROPY-SWITZ 2017, 19(4): 142, https://doi.org/10.3390/e19040142.

  16. Hongqian Lu, Zhou W, Duan C, Qi X. Delay‐dependent robust H∞ control for uncertain singular time‐delay system with Markovian jumping parameters. Optimal Control Applications and Methods 2013, 34(3): 296-307, https://doi.org/10.1002/oca.2021.

  17. Zhou W, Tong D, Hongqian Lu, Zhong Q. Time-delay dependent H∞ model reduction for uncertain stochastic systems: continuous-time case. Circuits, Systems, and Signal Processing 2011, 30(5): 941-961, https://doi.org/10.1007/s00034-010-9245-x.

  18. Hongqian Lu, Zhou W, Xu Y, Fang J, Tong D. Time‐delay dependent H∞ model simplification for singular systems with Markovian jumping parameters. Optimal Control Applications and Methods 2011, 32(4): 379-395, https://doi.org/10.1002/oca.943.

  19. Li M, Zhou W, Hongqian Lu. Robust H∞ control for a generic linear rational expectations model of economy. APPL MATH COMPUT 2010, 216(7): 2145-2154, https://doi.org/10.1016/j.amc.2010.03.049.

  20. Zhou W, *Hongqian Lu, Duan C, Li M. Delay‐dependent robust control for singular discrete‐time Markovian jump systems with time‐varying delay. International Journal of Robust and Nonlinear Control: IFAC‐Affiliated Journal 2010, 20(10): 1112-1128, https://doi.org/10.1002/rnc.1492.

  21. Hongqian Lu, Zhou WN. Delay-dependent robust H∞ control for uncertain stochastic systems. Control and Decision 2009, 24(1): 76-80, https://doi.org/10.13195/j.cd.2009.01.78.luhq.016.

  22. Zhou W, *Hongqian Lu, Duan C. Exponential stability of hybrid stochastic neural networks with mixed time delays and nonlinearity. NEUROCOMPUTING 2009, 72(13-15): 3357-3365, , https://doi.org/10.1016/j.neucom.2009.04.012.

  23. Xu Y, Zhou W, Hongqian Lu. Structure identification and adaptive synchronization of uncertain general complex dynamical networks. PHYS LETT A 2009, 374(2): 272-278, https://doi.org/10.1016/j.physleta.2009.10.079.

  24. Zhou W, Xu Y, Hongqian Lu, Pan L. On dynamics analysis of a new chaotic attractor. PHYS LETT A 2008, 372(36): 5773-5777, https://doi.org/10.1016/j.physleta.2008.07.032.

科研项目                                                   

[1] 广义非线性随机时滞系统的分析与控制，山东省自然科学基金，2013 。

[2] Levy噪声驱动的随机神经网络稳定性同步与最优控制，国家自然科学基金，2016。

[3] 基于自我发展的工程硕士创新培养模式研究，山东省教研项目，2016。

[4]智能无人驾驶机器人3D打印建筑工程车，企业横向课题，2018 。

[5] 塑性混凝土小型制品生产流水线控制系统开发，企业横向课题，2016 。

主要专利                                                    

[1] 一种新型可移动塔式3D打印设备，专利号ZL2019200962885

[2] 一种移动式水泥制品3D打印设备，专利号ZL2019200953994

[3] 一种新型可自动清洗的3D打印喷头，专利号ZL2019200954075

[4] 一种新型可移动机械臂式3D打印设备，专利号ZL2019200962917

[5] 一种升降杆式水泥制品3D打印设备，专利号ZL2019200954111

[6] 一种多通管道接头、水泥喷头装置及水泥制品3D打印机，专利号ZL2019200962940

[7] 一种机械臂式水泥制品3D打印机，专利号ZL2019200954107

[8] 一种移动式水泥制品3D打印设备，专利号ZL2019200953994

[9] 一种智能输液系统,专利号ZL201720317870.0