盛立（教授）

»姓名：盛立

»系属：测控技术与仪器系

»学位：博士

»职称/职务：教授/副院长

»专业：控制理论与控制工程

»导师类别：博导/硕导

»电子邮箱：shengli@upc.edu.cn

»联系电话：0532-86983478

»通讯地址：青岛市黄岛区长江西路66号

»概况

◎研究方向

1.复杂系统的故障诊断与容错控制

2.网络化随机系统的控制与滤波

3.人工智能技术在油气开发数据处理中的应用

◎教育经历

l 2006/09－2010/03，江南大学，通信与控制工程学院，博士

l 2008/10－2009/10,University of Maryland, College Park, U. S.,联合培养博士

l 2003/09－2006/07，山东师范大学，信息科学与工程学院，硕士

l 1999/09－2003/07，山东师范大学，信息管理学院，学士

◎工作经历

l 2018/01－至今，中国石油大学（华东），控制科学与工程学院，测控系，教授

l 2015/03－2016/03，Brunel University London, U.K.,青年骨干教师

l 2013/01－2017/12，中国石油大学（华东），信息与控制工程学院，自动化系，副教授

l 2010/04－2012/12，中国石油大学（华东），信息与控制工程学院，自动化系，讲师

◎学术兼职

l Systems Science & Control Engineering编委

l 第五届中国自动化学会技术过程的故障诊断与安全性专业委员会委员

l 第七届中国自动化学会青年工作委员会委员

l 第二届智能物联系统建模与仿真专业委员会委员

l IEEE Transactions on Automatic Control, Automatica, IEEE Transactions on Cybernetics, IEEE Transactions on Neural Networks and Learning Systems, Fuzzy Sets and Systems, Systems & Control Letters等国际期刊审稿人

◎主讲课程

l 本科生课程：自动控制原理、控制系统仿真技术、计算机控制（英文）

l 研究生课程：动态系统的故障诊断与容错控制、控制理论专题

◎指导研究生及博士后

博士生：

l 2017级：张森

l 2018级：牛艺春

l 2019级：马雨含、刘诗洋

l 2020级：魏永丽

l 2021级：怀务祥

硕士生：

l 2015级：牛艺春、曾菲

l 2016级：马萍萍、晁代坤、汤吉瑞

l 2017级：高晗、牟大伟、杨森、韩玉欣

l 2018级：张文华、徐西龙、徐洁、刘雨霞

l 2019级：田锦毅、李春昱、屈志超、李超群、杜红玲

l 2020级：怀务祥、王岳超、李纪良、李佳

l 2021级：张玉辉、祁中威、袁陆阳、崔贺程、王俊凯、张剑

◎承担项目

1. 国家自然科学基金面上项目(No. 62173343)，强干扰下一类非线性系统的传感器故障诊断及应用验证，2022/01 – 2025/12，主持；

2. 山东省自然科学基金优秀青年基金(No. ZR2020YQ49)，网络化随机系统的控制、状态估计与故障诊断，2021/01-2023/12，主持；

3. 国家自然科学基金重点项目(No. 62033008)，旋转导向钻井工具精确轨迹跟踪的智能自主容错控制系统研究，2021/01-2025/12，参加（3/23）；

4. 国家工程实验室开放基金(No. 20CX02309A)，水下无线传感器网络的分布式故障诊断，2020/05-2022/04，主持；

5. 国家自然科学基金面上项目(No. 61773400)，乘性噪声干扰下网络化闭环控制系统的故障检测，2018/01-2021/12，已结题；

6. 山东省重点研发计划(No. 2019GGX101046)，网络化随机系统的故障诊断及其在高速列车制动控制系统中的应用，2019/07-2021/07，主持；

7. 自主创新科研计划青年基金延续资助项目(No. 17CX02059)，网络化闭环系统的滤波与故障诊断研究，2017/1-2019/12，主持

8. 青岛市应用基础研究计划项目(No. 16-5-1-3-jch)，随机非线性系统的鲁棒滤波及其在微地震监测中的应用，2016.09-2018.09，主持；

9. 国家自然科学基金青年基金(No. 61403420)，基于H-表示的随机Markov跳跃系统的谱分析与H∞控制研究，2015.01-2017.12，主持；

10. 教育部高等学校博士学科点新教师基金(No.20120133120014)，基于谱技术的随机Markov跳跃系统的能稳性、能观性与鲁棒H∞控制研究，2013.01-2015.12，主持；

11. 中国石油大学青年骨干教师建设工程项目(No. 12CX02010A)，随机系统的控制与滤波，2013.01-2015.12，主持；

12. 山东省自然科学基金(No. ZR2011FL025)，基于谱技术的随机系统的区域稳定性与控制问题研究，2011.12-2014.12，主持；

13. 自主创新科研计划项目(No. 11CX04042A)，基于T-S模糊模型的Markov跳跃非线性系统的鲁棒控制与滤波研究，2011.04-2013.04，主持。

◎获奖情况

1. 网络化随机系统的故障检测、估计与鲁棒控制方法及应用，2019年青岛市自然科学奖，青岛市科学技术局，三等奖，盛立(1/5)；

2. 随机跳变系统的建模、分析与综合，2016年中国自动化学会(CAA)自然科学奖，中国自动化学会，二等奖，盛立(1/4)；

3. 随机Markov跳跃系统分析与综合的新方法，2014年山东高等学校优秀科研成果奖，山东省教育厅，二等奖，盛立(1/4)；

4. 获2021年“青岛西海岸新区优秀青年人才”称号，盛立(1/1)；

5. 人工智能+石油+控制学科融合的研究生教育模式探索与实践，2021年校研究生教育“三融合”优秀案例，一等奖，盛立(3/5)。

◎学生获奖情况

1. 牛艺春、张森、石淼淼，多传感器系统的状态估计与故障检测技术，2021年山东省研究生优秀成果奖三等奖，山东省教育厅，盛立、周东华（导师）；

2. 牛艺春，传输信道受限下反馈神经网络的同步控制与状态估计，2019年山东省优秀硕士学位论文，山东省教育厅，盛立（导师）；

3. 牛艺春，2021年中国石油大学（华东）学术十杰，盛立、周东华（导师）

4. 牛艺春，传输信道受限下反馈神经网络的同步控制与状态估计，2018年校优秀硕士学位论文，中国石油大学（华东），盛立（导师）；

5. 徐西龙，基于卷积神经网络的微地震事件检测方法研究，2021年校优秀硕士学位论文，中国石油大学（华东），盛立（导师）；

6. 怀务祥，基于无迹卡尔曼滤波的非线性系统状态估计，2020年优秀本科毕业设计，中国石油大学（华东），盛立（导师）；

7. 鄢海舟，基于Matlab的混沌神经网络的同步控制，2014年优秀本科毕业设计，中国石油大学（华东），盛立（导师）；

8. 牛艺春，2017年硕士研究生国家奖学金，2021年博士研究生国家讲学金，盛立（导师）；

9. 晁代坤，2018年硕士研究生国家奖学金，盛立（导师）。

◎论文

[1] Y. Niu,L. Sheng*(盛立), M. Gao, Y. Wang, D. Zhou*. Variational Bayesian-based moving horizon estimation of Toolface for rotary steerable drilling tool systems.IEEE Transactions on Industrial Electronics, doi: 10.1109/TIE.2022.3153829.

[2] 盛立,牛艺春,刘诗洋,王伟亮,高明,周东华*.旋转导向钻井工具装备的微小故障检测.中国科学：信息科学, doi/10.1360/SSI-2021-0309.

[3] M. Gao, Z. Wang*,L. Sheng, L. Zou, H. Liu. Centralized moving-horizon estimation for a class of nonlinear dynamical complex networks under event-triggered transmission scheme.International Journal of Robust and Nonlinear Control, doi:10.1002/rnc.6000.(SCI二区)

[4] M. Gao, Y. Niu,L. Sheng*. Distributed fault-tolerant state estimation for a class of nonlinear systemsover sensor networks with sensor faults and random link failures,IEEE Systems Journal, doi: 10.1109/JSYST.2022.3142183. (SCI二区)

[5] Y. Niu,L. Sheng*, M. Gao, D. Zhou*. Distributed intermittentfault detection for linear stochastic systems over sensor networks.IEEE Transactions on Cybernetics, DOI: 10.1109/TCYB.2021.3054123.(SCI一区)

[6] 牛艺春,刘诗洋,高明,盛立*.线性随机系统的微小传感器故障检测.控制理论与应用, doi: 10.7641/CTA.2021.10534..(EI期刊)

[7] 王维波，官强，高明，盛立*.基于残差网络和SET的微地震事件检测与定位.石油地球物理勘探,已录用.(EI期刊)

[8] L. Sheng*, Y. Niu, W. Wang, M. Gao, Y. Geng, D. Zhou. Estimation of Toolface for dynamic point-the-bit rotary steerable systems via nonlinear polynomial filtering,IEEE Transactions on Industrial Electronics, vol. 69, no. 7, pp. 7192-7201, 2022.(SCI一区)

[9] Y. Niu, M. Gao,L. Sheng*. Fault-tolerant state estimation for stochastic systems over sensor networks with intermittent sensor faults.Applied Mathematics and Computation, vol. 416, 126723, 2022. (SCI一区)

[10] Y. Niu,L. Sheng*, M. Gao, D. Zhou*. Dynamic event-triggered state estimation for continuous-time polynomial nonlinear systems with external disturbances.IEEE Transactions on Industrial Informatics, vol. 17, no. 6, pp. 3962-3970, 2021.(SCI一区)

[11] S. Zhang,L. Sheng*, M. Gao. Intermittent fault detection for delayed stochastic systems over sensor networks,Journal of the Franklin Institute, vol. 358, no. 13, pp. 6878-6896, 2021. (SCI二区)

[12] L. Sheng*,S. Zhang, M. Gao. Intermittent fault detection for linear discrete-time stochastic multi-agent systems.Applied Mathematics and Computation, vol. 410, 126480, 2021. (SCI一区)

[13] L. Sheng*, W. Huai, Y. Niu, M. Gao. Consensus-based unscented Kalman filtering over sensor networks with communication protocols.International Journal of Robust and Nonlinear Control, vol. 31, pp. 6349-6368, 2021.(SCI二区)

[14] 盛立*,徐西龙,王维波,高明.基于时频分析和卷积神经网络的微地震事件检测.中国石油大学学报(自然科学版), vol. 45, no. 5, pp. 54-63, 2021.(EI期刊)

[15] 张森,盛立*,高明.具有时变时滞的线性离散随机系统的间歇故障检测.控制理论与应用, vol. 38, no. 6, 806-814, 2021.(EI期刊)

[16] L. Sheng*,Y. Niu, M. Gao, D. Zhou. Polynomial filtering for nonlinear stochastic systems with state- and disturbance-dependent noises.International Journal of Robust and Nonlinear Control, vol. 30, no. 12, pp. 4726-4743, 2020. (SCI二区)

[17] M. Gao, W. Zhang,L. Sheng*, D. Zhou. Distributed fault estimation for delayed complex networks with Round-Robin protocol based on unknown input observer.Journal of the Franklin Institute, vol. 357, pp. 8678-8702, 2020.(SCI二区)

[18] S. Zhang,L. Sheng, M. Gao, D. Zhou*. Intermittent fault detection for discrete-time linear stochastic systems with time delay.IET Control Theory & Applications, vol. 14, no. 3, pp. 511-518, 2020.(SCI三区)

[19] 王维波，徐西龙，盛立*，高明.卷积神经网络微地震事件检测.石油地球物理勘探, vol. 55, no. 5, pp. 939-949, 2020.(EI期刊)

[20] L. Sheng*,P. Ma, M. Gao.H_∞consensus control with spectrum constraints for stochastic multi-agent systems subject to (x,u,v)-dependent noises.Applied Mathematics and Computation, vol. 362, 124560, 2019.(SCI二区)

[21] L. Sheng*, Z. Wang, B. Shen, M. Gao. On mean-squareH_∞control for discrete-time nonlinear stochastic systems with (x,u,v)-dependent noises.International Journal of Robust and Nonlinear Control, vol. 29, pp. 882-893, 2019.(SCI二区)

[22] L. Sheng*, Y. Niu, M. Gao. Distributed resilient filtering for time-varying systems over sensor networks subject to Round-Robin/stochastic protocol,ISA Transactions,vol. 87,55–67, 2019.(SCI二区)

[23] M. Gao, S. Yang,L. Sheng*, D. Zhou. Fault diagnosis for time-varying systems with multiplicative noises over sensor networks subject to Round-Robin protocol.Neurocomputing, vol.346, pp. 65-72, 2019.(SCI二区)

[24] M. Gao, S. Yang,L. Sheng*. Distributed fault estimation for time-varying multi-agent systems with sensor faults and partially decoupled disturbances.IEEE Access, vol. 7, pp. 147905-147913, 2019.(SCI二区)

[25] Y. Niu,L. Sheng*. Uniform quantized synchronization for chaotic neural networks with successive packet dropouts.Asian Journal of Control, vol. 21, no. 1, pp. 639-646, 2019. (SCI四区)

[26] L. Sheng*, Y. Niu, L. Zou, Y. Liu, F. E. Alsaadi. Finite-horizon state estimation for time-varying complex networks with random coupling strengths under Round-Robin protocol.Journal of the Franklin Institute,vol. 355, 7417-7442, 2018.(SCI二区)

[27] D. Chao,L. Sheng*, Y. Liu Y. Liu, F. E. Alsaadi. Event-basedH_∞fault estimation for networked time-varying systems with randomly occurring nonlinearities and (x,v)-dependent noises,Neurocomputing, vol. 285, pp. 220-229, 2018.(SCI二区)

[28] L. Sheng, Z. Wang, L. Zou, F. E. Alsaadi.Event-basedH_∞state estimation for time-varying stochastic dynamical networks with state- and disturbance-dependent noises.IEEE Transactions on Neural Networks and Learning Systems, vol. 28, no. 10, pp. 2382-2394, 2017.(SCI一区Top期刊)

[29] L. Sheng,Z. Wang, W. Wang, F. E. Alsaadi. Output-feedback control for nonlinear stochastic systems with successive packet dropouts and uniform quantization effects.IEEE Transactions on Systems, Man and Cybernetics: Systems,vol. 47, no. 7, pp. 1181-1191, 2017. (SCI一区)

[30] L. Sheng, Z. Wang, L. Zou. Output-feedbackH₂/H_∞consensus control for stochastic time-varying multi-agent systems with (x,u,v)-dependent noises,Systems & Control Letters, vol. 107, pp. 58-67, 2017. (SCI三区)

[31] M. Gao,L. Sheng*, D. Zhou, Y. Niu. Event-based fault detection for T-S fuzzy systems with packet dropouts and (x, v)-dependent noises.Signal Processing, vol. 138, pp. 211-219, 2017.(SCI二区)

[32] L. Sheng, Z. Wang, E. Tian, F. E. Alsaadi. Delay-distribution-dependentH_∞state estimation for delayed neural networks with (x,v)-dependent noises and fading channels.Neural Networks, vol. 84, pp. 102-112, 2016. (SCI二区)

[33] Y. Niu,L. Sheng*, W. Wang. Delay-dependentH_∞synchronization for chaotic neural networks with network-induced delays and packet dropouts.Neurocomputing, vol. 214, pp. 7-15, 2016.(SCI二区)

[34] M. Gao,L. Sheng*, Y. Liu. RobustH_∞control for T-S fuzzy systems subject to missing measurements with uncertain missing probabilities.Neurocomputing,vol. 193, pp. 235-241，2016.(SCI二区)

[35] M. Gao,L. Sheng*, Y. Liu, Z. Zhu. Observer-basedH_∞fuzzy control for nonlinear stochastic systems with multiplicative noise and successive packet dropouts.Neurocomputing, vol. 173, pp. 2001-2008, 2016.(SCI二区)

[36] L. Sheng, M. Gao, W. Zhang, B. S. Chen.Infinite horizonH_∞control for nonlinear stochastic Markov jump systems with (x,u,v)-dependent noise via fuzzy approach.Fuzzy Sets and Systems,vol.273, pp. 105–123, 2015.(SCI二区Top期刊)

[37] L. Sheng,W. Zhang, M. Gao. Some remarks on infinite horizon stochasticH₂/H_∞control with (x,u,v)-dependent noise and Markov jumps.Journal of the Franklin Institute, vol. 352, no. 10, pp. 3929-3946, 2015.(SCI二区)

[38] M. Gao,L. Sheng*,W. Zhang. StochasticH₂/H_∞control of nonlinear systems with time-delay and state-dependent noise.Applied Mathematics and Computation, vol. 266, pp. 429-440, 2015.(SCI二区)

[39] L. Sheng,W. Zhang,M. Gao. Relationship between Nash equilibrium strategies andH₂/H_∞control of stochastic Markov jump systems with multiplicative noise.IEEE Transactions on Automatic Control, vol. 59, no. 9, pp. 2592-2597, 2014.(SCI二区Top期刊控制领域顶级期刊)

[40] L. Sheng*,W. Zhang,M. Gao. MixedH₂/H_∞control of time-varying stochastic discrete-time systems under uniform detectability.IET Control Theory and Applications, vol. 8, no. 17, pp. 1866-1874, 2014. (SCI三区)

[41] L. Sheng*, M. Gao, W. Zhang.Dissipative control for Markov jump non-linear stochastic systems based on T-S fuzzy model.International Journal of Systems Science, vol. 45, no. 5, pp. 1213-1224, 2014. (SCI三区)

[42] L. Sheng*, M. Zhu, W. Zhang, Y. Wang. Nonlinear stochasticH_∞control with Markov jumps and (x,u,v)-dependent noise: Finite and infinite horizon cases.Mathematical Problems in Engineering, Volume 2014, Article ID 948134, 10 pages, 2014. (SCI四区)

[43] M. Gao,L. Sheng*,W. Zhang. Finite horizonH₂/H_∞control of time-varying stochastic systems with Markov jumps and (x,u,v)-dependent noise.IET Control Theory and Applications, vol. 8, no. 14, pp. 1354-1363, 2014.(SCI三区)

[44] L. Sheng*, M. Gao, W. Zhang.Spectral characterization for stability and stabilisation of linear stochastic systems with Markovian switching and its applications.IET Control Theory and Applications, vol. 7, no. 5, pp. 730-737, 2013. (SCI三区)

[45] L. Sheng*,M. Gao. Robust stability of Markovian jump discrete-time neural networks with partly unknown transition probabilities and mixed mode-dependent delays.International Journal of Systems Science, vol. 44, no. 2, pp. 252-264, 2013.(SCI三区)

[46] L. Sheng*, M. Gao, W. Zhang.General stability of stochastic Markov jump linear systems based on the spectrum technique.Asian Journal of Control, vol. 15, no. 5, pp. 1417-1425, 2013. (SCI四区)

[47] L. Sheng*, M. Gao. Stabilization for Markovian jump nonlinear systems with partly unknown transition probabilities via fuzzy control.Fuzzy Sets and Systems, vol. 161, no. 21, pp.2780-2792, 2010. (SCI二区Top期刊)

[48] L. Sheng, M. Gao, H. Yang.Delay-dependent robust stability for uncertain stochastic fuzzy Hopfield neural networks with time-varying delays.Fuzzy Sets and Systems, vol. 160, no. 24, pp.3503-3517, 2009. (SCI二区Top期刊)

[49] L. Sheng, H. Yang. Robust stability of uncertain Markovian jumping Cohen-Grossberg neural networks with mixed time-varying delays.Chaos, Solitons and Fractals, vol. 42, no. 4, pp.2120-2128, 2009.(SCI三区)

[50] L. Sheng, H. Yang.Novel global robust exponential stability criterion for uncertain BAM neural networks with time-varying delays.Chaos, Solitons and Fractals, vol. 40, no. 5, pp.2102-2113, 2009.(SCI三区)

[51] L. Sheng, H. Yang, X. Lou.Adaptive exponential synchronization of delayed neural networks with reaction-diffusion terms.Chaos, Solitons and Fractals, vol. 40, no. 2, pp.930-939, 2009.(SCI三区)

[52] L. Sheng, H. Yang. Exponential synchronization of a class of neural networks with mixed time-varying delays and impulsive effects.Neurocomputing, vol. 71, no. 16-18, pp.3666-3674, 2008.(SCI三区)

◎专利

[1] 盛立,张森,高明,周东华.线性离散时滞系统的间歇故障检测方法.专利号: ZL201910339620.0,授权公告号：CN110058124B,授权公告日: 2021-07-13.

[2] 盛立,高晗,高明,周东华.工业过程间歇故障的检测方法.专利号: ZL201910030835.4,授权公告号：CN109739214B,授权公告日: 2020-08-25.

[3] 盛立,牛艺春,高明.一种信号量化情形下的混沌神经网络保密通信方法.专利号: ZL201611054701.9,授权公告日: 2019-05-28.

[4] 盛立,牛艺春,高明,刘金鑫,一种超混沌神经网络遮掩保密通信电路,专利号：ZL201510428564.X,授权公告日: 2018-9-11.

[5] 盛立,牛艺春,高明,刘金鑫.一种时滞神经网络超混沌电路.专利号: ZL20151 0428525.X,授权公告日: 2018-7-17.

[6] 盛立,牛艺春,高明,刘金鑫.具有脉冲效应的时滞超混沌神经网络电路.专利号: ZL201510428010.X,授权公告日: 2017-12-26.