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司文杰博士简历
2018-12-26 16:18  

    IMG_81761

司文杰  19856  河南 平顶山

教育背景                                                                                    

2004.09–2008.07  郑州大学 本科

                     电气工程学院  自动化 专业                     

2008.09–2011.07  郑州大学 硕士研究生

                    电气工程学院  控制理论与控制工程 专业         

2011.09–2015.07  华南理工大学 博士研究生

                     自动化科学与工程学院  控制理论与控制工程 专业

2015.092017.10   华南理工大学 博士后

论文:

1.        Wenjie Si. Decentralized intelligent tracking control for uncertain high-order stochastic nonlinear strong interconnected systems in drift and diffusion terms. International Journal of Robust and Nonlinear Control, 2018, 28(7):2780-2805 (WOS: 000427251700006) (IF=3.393, 中科院大类:2区。小类:1区。JCR分区:Q1)

2.        Wenjie Si*, et al. Decentralized adaptive neural control for high-order stochastic nonlinear strongly interconnected systems with unknown system dynamics. Information Sciences, 2018, 424:137-158 (SCI, WOS:000414889900009) (IF= 4.832, 中科院大类:2区。小类:1区。JCR分区:Q1)

3.        Wenjie Si*, et al. Adaptive neural DSC for stochastic nonlinear constrained systems under arbitrary switchings. Nonlinear Dynamics, 2017, 90(4), 2531-2544. (SCI, WOS:000415111100021)(IF=3.464, 中科院大类:2区。小类:1区。JCR分区:Q1)

4.        Wenjie Si*, et al. Decentralized adaptive neural control for interconnected stochastic nonlinear delay-time systems with asymmetric saturation actuators and output constraints. Journal of The Franklin Institute, 2018,355(1): 54-80 (SCI, WOS:000418696500003) (IF=3.139, 中科院大类:2区。小类:2区。JCR分区:Q1)

5.        Wenjie Si*, et al. Nussbaum gain adaptive neural control for stochastic pure-feedback nonlinear time-delay systems with full-state constraints. Neurocomputing, 2018, 292: 130-141. (SCI, WOS:000429321400012) (IF= 3.317, 中科院大类:2区。小类:3区。JCR分区:Q1)

6.        Wenjie Si*, et al. Decentralized adaptive neural control for high-order interconnected stochastic nonlinear time-delay systems with unknown system dynamics. Neural Networks, 2018, 99:123-133 (WOS:000425969700011) (IF= 5.287, 中科院大类:2区。小类:2区。JCR分区:Q1)

7.        Wenjie Si, et al. Adaptive neural control for MIMO stochastic nonlinear pure-feedback systems withinput saturation and full-state constraints. Neurocomputing, 2018, 275: 298-307 (WOS:000418370200029) (IF= 3.317, 中科院大类:2区。小类:3区。JCR分区:Q1)

8.        Wenjie Si*, et al. Adaptive neural prescribed performance control for a class of strict-feedback stochastic nonlinear systems with hysteresis input. Neurocomputing, 2017, 251:35-44 (SCI, WOS:000402443900004) (IF= 3.317, 中科院大类:2区。小类:3区。JCR分区:Q1)

9.        Wenjie Si*, et al. Adaptive neural tracking control for nonstrict-feedback stochastic nonlinear time-delay systems with full-state constraints. International Journal of Systems Science, 2017, 48(14):3018-3031 (SCI, WOS:000413898800011)(IF=2.285, 中科院大类:3区。小类:2区。JCR分区:Q2).

10.    Wenjie Si*, et al. Adaptive neural prescribed performance control for a class of strict-feedback stochastic nonlinear systems under arbitrary switchings. International Journal of Systems Science, 2017, 48(11):2300-2310 (SCI, WOS:000402642400007) (IF= 2.285, 中科院大类:3区。小类:2区。JCR分区:Q2).

11.    Wenjie Si*, et al. Adaptive neural control for stochastic pure-feedback nonlinear time-delay systems with output constraint and asymmetric input saturation.IET Control Theory & Applications, 2017,11(14): 2288– 2298 (SCI, Accepted, WOS:000409425700013) (IF=2.536, 中科院大类:3区。小类:2区。JCR分区:Q2)

12.    Wenjie Si*, et al. Adaptive neural dynamic surface control for stochastic nonlinear time-delay systems with input and output constraints. Asian Journal of Control, 2018,20(4):1-10 (SCI, WOS:000428351500015) (IF= 1.421, 中科院大类:3区。小类:4区。JCR分区:Q3)

13.    Wenjie Si*. Adaptive neural control for nonstrict-feedback stochastic nonlinear time-delay systems with input and output constraints. International Journal of Adaptive Control and Signal Processing, 2017, 2017;31:1401–1417. (SCI, WOS:000412889600003) (IF= 1.708, 中科院大类:3区。小类:4区。JCR分区:Q3)

14.    Wenjie Si*, et al. Adaptive neural control for nonstrict-feedback time-delay systems with input and output constraints. International Journal of Machine Learning and Cybernetics, 2017 (SCI, doi: 10.1007/s13042-017-0662-z) (IF= 1.699, 中科院大类:4区。小类:4区。JCR分区:Q3)

15.    Wenjie Si*, et al. Adaptive neural dynamic surface control for a general class of stochastic nonlinear systems with time delays and input dead zone. International Journal of Control, Automation and Systems, 2017, 15(5): 2416–2424. (SCIWOS:000412845300045) (IF=1.687,中科院大类:4区。小类:4区。JCR分区:Q3)

16.    Wenjie Si, et al. Neural prescribed performance control for uncertain marine surface vessels without accurate initial errors.Mathematical Problems in Engineering, 2017 (SCI, WOS:000394752900001) (IF=0.802,中科院大类:4区。小类:4区。JCR分区:Q3)

 

期刊(EI

1.        司文杰*, . 一类严格反馈时滞系统的自适应输出反馈控制,系统工程与电子技术, 201739(6): 82-90.( Accession number: 20173404075774)

2.        司文杰*, . 全状态约束的时滞系统神经网络输出反馈控制. 控制与决策, 2017,32(9):1537-1546. (Accession number: 20174304293648)

3.        Wenjie Si*, et al. Adaptive neural DSC for nonlinear switched systems with prescribed performance and input saturation, IEEE/CAA Journal of AutomaticaSinica, 2017 (EIAccepted)

4.        司文杰*, . 随机时滞系统的神经网络输出反馈动态面控制. 控制与决策, 2017,32(8):1377-1385. (Accession number: 20174104259657)

5.        司文杰*, . 输入饱和的一类切换系统神经网络跟踪控制,自动化学报, 2017,43 (8): 1383-1392. (Accession number: 20174104244122)

6.        Wenjie Si*, et al. Adaptive neural output-feedback control for nonstrict-feedback stochastic nonlienar time-delay systems with hysteresis, IEEE/CAA Journal of AutomaticaSinica, 2016 (EI, Accepted)

7.        司文杰*,. 状态观测的未知死区非线性系统的自适应神经网络跟踪控制.控制与决策, 2017,32(5):780-788 (Accession number: 20173104003348)

8.        王聪*, 司文杰, 文彬鹤, . 轴流压气机旋转失速建模与检测: II—基于北航低速压气机试验台的实验研究. 控制理论与应用, 2014, 31(10): 1414-1422.

会议 (EI)

1.        Si Wenjie, Wang Cong, Wen Binheeta. Detection of rotating stall based on deterministic learning. Proceedings of the 32nd Chinese Control Conference, CCC 2013, 2013: 3332-3337.

2.        Wenjie Si, Feifei Yang, Qian Wang. Modeling and detection of rotating stall inception in an axial-flow compressor with inlet distortion, 35th Chinese Control Conference. CCC 2016, Chengdu, P.R. China, 2016:3514-3519.

3.        Wenjie Si, Feifei Yang, Wei Zeng, Qian Wang. Modeling and detection of spike-type stall in axial compressors via deterministic learning theory, 28th Chinese Control and Decision Conference, CCDC 2016, Yinchuan, P.R. China, 2016: 5909-5914.

中文核心(CSCD

1.        司文杰, 杨飞飞. 基于大规模训练神经网络的微小故障在线检测, 计算机科学, 2017,44(2):239-243.

 

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