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：山东省青岛市黄岛区长江西路66号

»概况

      盛立，山东省泰山学者青年专家、山东省优秀青年基金获得者、山东省优秀研究生导师、IEEE高级会员，主要研究领域为随机动态系统的滤波、控制与故障诊断。主持国家/省部级项目14项，包括国家重点研发计划项目课题1项，国家自然科学基金面上项目2项、青年基金1项、重点项目课题1项等；以第一/通信作者在IEEE TAC、IEEE TIE等期刊发表高水平论文100多篇；以第一作者出版国内外间歇故障研究领域第一本学术专著；授权国家发明专利11项；以第一完成人获山东省自然科学二等奖、中国自动化学会自然科学二等奖等奖励6项。

◎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

    2006/09－2010/03，江南大学，通信与控制工程学院，博士

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

    2003/09－2006/07，山东师范大学，信息科学与工程学院，硕士

    1999/09－2003/07，山东师范大学，信息管理学院，学士

◎工作经历

     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

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

     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

     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

      IEEE Senior Member

     Systems Science &   Control Engineering编委

     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

     第七届中国自动化学会青年工作委员会委员

     第二届智能物联系统建模与仿真专业委员会委员

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

◎主讲课程

    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）

    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、最优控制与状态估计

◎指导研究生及博士后

    博士生：

           2017级：张森

           2018级：牛艺春

           2019级：马雨含、刘诗洋

           2020级：魏永丽

           2021级：怀务祥

           2022级：李春昱、陈忠玉

           2023级：王岳超、程旭东

    硕士生：

           2015级：牛艺春、曾菲

           2016级：马萍萍、晁代坤、汤吉瑞

           2017级：高晗、牟大伟、杨森、韩玉欣

           2018级：张文华、徐西龙、徐洁、刘雨霞

           2019级：田锦毅、李春昱、屈志超、李超群、杜红玲

           2020级：怀务祥、王岳超、李纪良、李佳

           2021级：张玉辉、祁中威、袁陆阳、崔贺程、王俊凯、张剑

           2022级：刘一凡、张宁、李兆阳、陈旭、吕雁茹、徐泽禹、杨晨

           2023级：刘洋、袁鹏洋、孙泽正、徐云恒、闫文雅、王召琪

◎承担项目

1.        国家重点研发计划项目课题(No. 2023YFB3307101)，复杂装备多源多模态数据融合技术与运行状态表征方法，2023/12 –2026/01，主持，在研；

2.        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，在研；

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），在研；

4.        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，已结题；

5.        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，已结题；

6.        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，主持，已结题；

7.        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，已结题；

8.        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，已结题；

9.        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，已结题；

10.    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，已结题；

11.    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，已结题；

12.    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，已结题；

13.    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，已结题；

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，已结题。

◎获奖情况

1.        2023年山东省泰山学者青年专家，盛立(1/1)；

2.        2023年山东省优秀研究生导师，盛立(1/1)；

3.        2023年中国石油大学（华东）“十佳研究生导师”，盛立(1/1)；

4.        2022年山东省自然科学奖，二等奖，网络化动态系统的鲁棒滤波、控制与故障诊断理论，盛立(1/5)；

5.        2022年中国自动化学会技术发明奖，一等奖，高速列车制动系统实时故障诊断技术及应用，盛立(3/6)；

6.        2022年第十三届青岛市青年科技奖，盛立(1/1)；

7.        2021年“青岛西海岸新区优秀青年人才”称号，盛立(1/1)；

8.        2019年青岛市自然科学奖，三等奖，网络化随机系统的故障检测、估计与鲁棒控制方法及应用，盛立(1/5)；

9.        2016年中国自动化学会(CAA)自然科学奖，二等奖，随机跳变系统的建模、分析与综合，中国自动化学会，二等奖，盛立(1/4)；

10.    2014年山东高等学校优秀科研成果奖，随机Markov跳跃系统分析与综合的新方法，山东省教育厅，二等奖，盛立(1/4)；

11.    2023年第四届校级研究生教学成果奖二等奖；深化学科、产教、科教三融合，控制学科/学位点建设新探索，盛立(2/9)；

12.    2021年校研究生教育“三融合”优秀案例一等奖，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，盛立(3/5)。

◎学生获奖情况

1.        刘诗洋、马雨含、牛艺春，2023年山东省研究生创新成果，噪声协方差矩阵未知情形下随机系统的故障检测与估计，山东省教育厅，盛立、高明（导师）；

2.        魏永丽，2023年校研究生创新基金项目，受约束非线性系统的自适应容错跟踪控制，盛立（导师）；

3.        牛艺春，2022年山东省研究生优秀成果奖三等奖，强噪声下旋转导向钻井工具的容错估计方法，山东省教育厅，高明、盛立（导师）；

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

5.        牛艺春，2021年中国石油大学（华东）学术十杰，盛立、周东华（导师）

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

7.        牛艺春，2023年校优秀博士学位论文，旋转导向钻井工具的状态估计与传感器故障检测方法，中国石油大学（华东），周东华、盛立（导师）；

8.        李春昱，2022年校优秀硕士学位论文，多智能体系统的分布式故障诊断及编队容错控制，中国石油大学（华东），盛立（导师）；

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

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

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

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

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

14.    晁代坤，2018年硕士研究生国家奖学金，盛立（导师）。

◎学术专著

 盛立，高明，周东华，随机动态系统的间歇故障检测技术，科学出版社，北京，2022，ISBN 978-7-03-074354-1.

◎期刊论文

[1]          Y. Niu, L. Sheng*, M. Gao, D. Zhou*. Optimal fault detection for stochastic linear time-varying systems by $\chi^2$ test. IEEE Transactions on Automatic Control, doi: 10.1109/TAC.2023.3329528. (SCI二区，长文)

[2]          Y. Niu, L. Sheng*, M. Gao, D. Zhou*. Moving horizon estimation for stochastic descriptor systems with inaccurate noise covariance matrices. IEEE Transactions on Industrial Electronics, doi: 10.1109/TIE.2023. 3325555. (SCI一区)

[3]          X. Liu, M. Chen, D. Zhou*, L. Sheng*. Fault-tolerant control of stochastic high-order fully actuated systems. IEEE Transactions on Cybernetics, doi: 10.1109/TCYB.2023.3320441. (SCI一区)

[4]          L. Sheng*, S. Liu, M. Gao, W. Huai, D. Zhou*. Moving horizon fault estimation for nonlinear stochastic systems with unknown noise covariance matrices. IEEE Transactions on Instrumentation & Measurement, vol. 73, Art. no. 3502913, 2024. (SCI二区)

[5]          M. Gao, W. Huai, L. Sheng*, D. Zhou*. Dynamic event-triggered intermittent fault detection for time-varying stochastic systems. IEEE Transactions on Industrial Electronics, vol. 71, no. 3, pp. 3074-3082, 2024. (SCI一区)

[6]          L. Sheng*, Y. Niu, M. Gao, Y. Geng, D. Zhou*. Particle filter-based fault detection for Toolface measurement of rotary steerable systems, IEEE Transactions on Instrumentation & Measurement, vol. 72, Art. no. 3519511, 2023. (SCI二区)

[7]          L. Sheng*, Y. Wang, M. Gao, Y. Niu, D. Zhou*. Finite-time H_∞ filtering for nonlinear stochastic systems with multiplicative noises via Carleman linearization technique. IEEE Transactions on Aerospace and Electronic Systems, vol. 59, no. 2, pp. 1774-1786, 2023. (SCI二区)

[8]          Y. Niu, L. Sheng*, 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, vol. 70, no. 1, pp. 813-823, 2023. (SCI一区)

[9]          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)

[10]       Y. Niu, L. Sheng*, M. Gao, D. Zhou*. Accelerometer fault detection for rotary steerable drilling tool systems under strong noises. IEEE Transactions on Instrumentation & Measurement, vol. 71, Art. no. 3523311, 2022. (SCI二区)

[11]       Y. Niu, L. Sheng*, M. Gao, D. Zhou*. Distributed intermittentfault detection for linear stochastic systems over sensor networks. IEEE Transactions on Cybernetics, vol. 52, no. 9, pp. 9208-9218, 2022. (SCI 一区)

[12]       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)

[13]       S. Liu, M. Gao, Y. Feng, L. Sheng*. Dynamic event-triggered fault detection for rotary steerable systems with unknown time-varying noise covariances. ISA Transactions, vol. 142,  pp. 478-491, 2023. (SCI二区)

[14]       Y. Wei, L. Sheng*, M. Gao, Y. Ma. Anti-saturation fault-tolerant control for Markov jump nonlinear systems with unknown control coefficients and unmodeled dynamics, Nonlinear Analysis: Hybrid Systems, vol. 50, Art. no. 101384, 2023. (SCI二区)

[15]       Y. Ma, M. Gao, L. Sheng*, Y. Wei, Active fault tolerant control for polynomial nonlinear systems with asymmetric state constraints and measurement noise, Nonlinear Dynamics, doi: 10.1007/s11071-023-08601-9. (SCI二区)

[16]       S. Liu, M. Gao, L. Sheng*, Y. Niu, Y. Wang, D. Zhou. Fault estimation for rotary steerable drilling tool systems with strong vibrations and unknown terms. Nonlinear Dynamics. vol. 111, pp. 9161-9175, 2023. (SCI二区)

[17]       S. Zhang, L. Sheng*, M. Gao. Closed-loop intermittent sensor fault detection for linear stochastic time-delay systems with unknown disturbances. International Journal of Control, vol. 96, no. 11, 2827-2838, 2023. (SCI 三区)

[18]       Y. Wei, L. Sheng*, J. Fang, M. Gao. Adaptive fault-tolerant tracking control for nonlinear systems with unknown control coefficient and input saturation. International Journal of Adaptive Control and Signal Processing, vol. 37, pp. 414–435, 2023.  (SCI四区)

[19]       Y. Ma, M. Gao, Y. Niu, S. Liu, L. Sheng*. Output feedback tracking control for polynomial nonlinear systems with measurement noises and mismatched disturbances. Journal of the Franklin Institute, vol. 360, pp. 1124-1144, 2023. (SCI三区)

[20]       怀务祥, 高明*, 盛立. 事件触发传输机制下线性随机系统的间歇故障检测. 控制理论与应用. vol. 40, no. 9, pp. 1602-1610, 2023. (EI 期刊)

[21]       李佳, 王维波, 盛立*, 高明. 基于双向长短时记忆神经网络的微地震信号降噪. 石油地球物理勘探. vol. 58, no. 2, pp. 285-294, 2023. (EI 期刊)

[22]       C. Li, L. Sheng*, M. Gao. Minimal-order observer-based distributed fault detection and isolation for stochastic multi-agent systems. Journal of the Franklin Institute, 359, 5056-5077, 2022. (SCI 二区)

[23]       S. Liu, M. Gao, W. Huai, L. Sheng*. Federated strong tracking filtering for nonlinear systems with multiple sensors. Transactions of the Institute of Measurement and Control, vol. 44, no. 16, pp. 3141-3153, 2022. (SCI 四区)

[24]       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, vol. 52, no. 11, pp. 2106-2120, 2022.

[25]       W. Wang, Y. Geng, J. Sun, H. Xu, L. Sheng. Sensor fault detection and minimum detectable fault analysis for dynamic point-the-bit rotary steerable system. ISA Transactions, vol. 127, pp. 108-119, 2022.  (SCI 二区)

[26]       M. Gao, Y. Niu, L. Sheng*. Distributed fault-tolerant state estimation for a class of nonlinear systems over sensor networks with sensor faults and random link failures, IEEE Systems Journal, vol. 16, no. 4, pp. 6328 - 6337, 2022. (SCI 二区)

[27]       M. Gao, Y. Niu, L. Sheng*, D. Zhou. Quantitative analysis of incipient fault detectability for time-varying stochastic systems based on weighted Moving average approach. Applied Mathematics and Computation, vol. 434, Art. no. 127472, 2022. (SCI 一区)

[28]       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)

[29]       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, vol. 32, no. 6, pp. 3872-3889, 2022. (SCI 二区)

[30]       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, vol. 39, no. 5, pp. 879-886, 2022. (EI 期刊)

[31]       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, vol. 57, no. 2, pp. 251-260, 2022. (EI 期刊)

[32]       M. Wang, L. Sheng, D. Zhou, M. Chen. A feature weighted mixed naive Bayes model for monitoring anomalies in the fan system of a thermal power plant. IEEE/CAA Journal of Automatica Sinica, vol. 9, no. 4, pp. 1-9, 2022. (SCI 一区)

[33]       X. Liu, M. Chen, L. Sheng, D. Zhou. Adaptive fault-tolerant control for nonlinear high-order fully-actuated systems. Neurocomputing, vol. 495, pp. 75-85, 2022.

[34]       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)

[35]       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)

[36]       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)

[37]       Z. Yan*, J. Wang, L. Sheng, Z. Yang. An effective compression algorithm for real-time transmission data using predictive coding with mixed models of LSTM and XGBoost. Neurocomputing, vol. 462, pp. 247-259, 2021. (SCI 二区)

[38]       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)

[39]       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)

[40]       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)

[41]       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)

[42]       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)

[43]       D. Wu, L. Sheng, D. Zhou*, M. Chen*. Dynamic stationary subspace analysis for monitoring nonstationary dynamic processes. Industrial & Engineering Chemistry Research, vol. 59, pp. 20787-20797, 2020. (SCI二区)

[44]       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)

[45]       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一区)

[46]       L. Sheng*, Z. Wang, B. Shen, M. Gao. On mean-square H_∞ 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)

[47]       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)

[48]       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)

[49]       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)

[50]       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)

[51]       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)

[52]       D. Chao, L. Sheng*, Y. Liu Y. Liu, F. E. Alsaadi. Event-based H_∞ 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)

[53]       L. Sheng, Z. Wang, L. Zou, F. E. Alsaadi. Event-based H_∞ 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)

[54]       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)

[55]       L. Sheng, Z. Wang, L. Zou. Output-feedback H₂/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)

[56]       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)

[57]       L. Sheng, Z. Wang, E. Tian, F. E. Alsaadi. Delay-distribution-dependent H_∞ 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)

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

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

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

[61]       L. Sheng, M. Gao, W. Zhang, B. S. Chen.Infinite horizon H_∞ 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)

[62]       L. Sheng, W. Zhang, M. Gao. Some remarks on infinite horizon stochastic H₂/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)

[63]       M. Gao,L. Sheng*, W. Zhang. Stochastic H₂/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)

[64]       L. Sheng, W. Zhang, M. Gao. Relationship between Nash equilibrium strategies and H₂/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)

[65]       L. Sheng*, W. Zhang, M. Gao. Mixed H₂/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)

[66]       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)

[67]       L. Sheng*, M. Zhu, W. Zhang, Y. Wang. Nonlinear stochastic H_∞ 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)

[68]       M. Gao, L. Sheng*, W. Zhang. Finite horizon H₂/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)

[69]       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)

[70]       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)

[71]       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)

[72]       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)

[73]       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)

[74]       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)

[75]       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)

[76]       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)

[77]       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)

[78]       X. Bai, Z. Wang, L. Sheng, Z. Wang. Reliable data fusion of hierarchical wireless sensor networks with asynchronous measurement for greenhouse monitoring, IEEE Transactions on Control Systems Technology, vol. 27, no. 3, pp. 1036-1046, 2019.(SCI)

[79]       M. Gao, L. Sheng, D. H. Zhou, F. Gao. Iterative learning fault-tolerant control for networked batch processes with multi-rate sampling and quantization effects. Industrial & Engineering Chemistry Research, vol. 56, no. 9, pp. 2515-2525, 2017. (SCI二区)

[80]       Q. Ye, X. Lou, L. Sheng. Generalized predictive control of a class of MIMO models via a projection neural network. Neurocomputing, vol. 234, pp. 192-197, 2017. (SCI二区)

[81]       B. Song, Z. Wang, L. Sheng. A new genetic algorithm approach to smooth path planning for mobile robots. Assembly Automation, vol. 36, no. 2, pp. 138-145, 2016. (SCI四区)

[82]       W. Zhang, Y. Zhao, L. Sheng. Some remarks on stability of stochastic singular systems with state-dependent noise. Automatica, vol. 51, no. 1, pp. 273-277, 2015. (SCI二区)

[83]       W. Zhang, B. S. Chen, H. Tang, L. Sheng, M. Gao. Some remarks on general nonlinear stochastic H_∞ control with state, control and disturbance-dependent noise. IEEE Transactions on Automatic Control, vol. 59, no. 1, pp. 237-242, 2014. (SCI二区)

[84]       W. Zhang, B. S. Chen, qL. Sheng, M. Gao. Robust H₂/H_∞ filter design for a class of nonlinear stochastic systems with state-dependent noise. Mathematical Problems in Engineering, ID: 750841, 16 pages, 2012. (SCI 四区)

[85]       H. Yang, L. Sheng. Robust stability of uncertain stochastic fuzzy cellular neural networks. Neurocomputing, vol. 73, no. 1-3, pp. 133-138, 2009. (SCI二区)

◎专利

[1]     盛立, 牛艺春, 高明, 耿艳峰, 周东华. 旋转导向钻井工具系统的工具面角估计方法,   专利号：202110690998.2, 授权公告号：CN113361124B, 授权公告日: 2022-08-02.

[2]     王伟亮, 耿艳峰, 盛立, 田金铭, 李铭磊. 旋转导向钻井工具稳定平台的地面测试装置. 专利号: ZL202310456921.8, 授权公告号: CN116164997B, 授权公告日: 2023-06-23.

[3]     王伟亮, 耿艳峰, 程民彪, 盛立. 旋转导向钻井工具测控系统的故障诊断方法、装置及应用. 专利号：ZL202110146212.0, 授权公告号：CN112459721B, 授权公告日：2021-04-16.

[4]     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.

[5]     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.

[6]     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.

[7]     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.

[8]     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.

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.