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【齐鲁工业大学】陆宏谦

发布时间:2021-07-12

陆宏谦
教育背景及工作经历:
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。 2009年在齐鲁工业大学电气工程与自动化学院工作。
获得荣誉及奖励:
成果:

发表的主要论文 (*表示通讯作者)                                                                                                            

[1] Lu H, Hu Y, Guo C, et al. Cluster synchronization for a class of complex dynamical network system with randomly occurring coupling delays via an improved event-triggered pinning control approach[J],Journal of the Franklin Institute,2019. [SCI收录,1区,IF:3.653]

Lu H, Guo C, Hu Y,et al.  Event-Triggered Stability Analysis of Semi-Markovian Jump Networked Control System with Actuator Faults and Time-Varying Delay via Bessel–Legendre Inequalities[J],Complexity. 2019. [SCI收录,1区,IF:2.591]

[2] Lu H, Guo C, Hu Y. Robust H∞ Control of Lurie Nonlinear Stochastic Network Control Systems With Multiple Additive Time-Varying Delay Components[J]. IEEE Access. 2019, 7: 3390-3405. [SCI收录,2区,IF:4.098]

[3] Lu H, Hu Y, Guo C, et al. New Stability Criteria for Event-Triggered Nonlinear Networked Control System with Time Delay[J]. Complexity. 2019, 2019: 1-13. [SCI收录,1区,IF:2.591]

[4] Lu H, Hu Y, Guo C, et al. State Estimation-Based Event-Triggered H∞ Control for Multi-Delay Stochastic Network Control System[J]. IEEE Access. 2018, 6: 74091-74103. [SCI收录,2区,IF:4.098]

[5] Lu H, Zhou W, Duan C, et al. Delay-dependent robust H ∞ control for un-certain singular time-delay system with Markovian jumping parameters[J]. Optimal Control Ap-plications and Methods. 2013, 34(3): 296-307. [SCI收录,2区,IF:1.452]

[6] Lu H, Zhou W, Xu Y, et al. Time-delay dependent H∞ model simplification for singular systems with Markovian jumping parameters[J]. Optimal Control Applications and Methods. 2011, 32(4): 379-395. [SCI收录,2区,IF:1.452]

[7] Zhou W, Lu H*, Duan C, et al. Delay-dependent robust control for singular discrete-time Markovian jump systems with time-varying delay[J]. International Journal of Robust and Non-linear Control. 2009, 20(10): n/a-n/a. [SCI收录,1区,IF:3.953]

[8] Zhou W, Lu H*, Duan C. Exponential stability of hybrid stochastic neural networks with mixed time delays and nonlinearity[J]. Neurocomputing. 2009, 72(13-15): 3357-3365. [SCI收录,2区,IF:4.072]

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