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教师队伍

检测技术与自动化装置研究所

姓      名: 史大威 性别: 出生年月: 1986.06
职      称: 准聘教授 职务: 最高学历: 博士
学科方向: 控制科学与工程
人才计划: 国家“千人计划”青年项目 办公地点: 6#212
电子邮件: daweishi@bit.edu.cn 办公电话: 010-68918802
通讯地址: 北京市海淀区中关村南大街5号自动化学院

教育与工作经历

2004.9-2008.6 北京理工大学自动控制系 电气工程及其自动化 学士

2008.9-2010.8 北京理工大学自动化学院 控制科学与工程  本直博

2010.9-2014.8 加拿大阿尔伯塔大学电气与计算机工程系 控制系统  博士

2014.12-2017.1 北京理工大学自动化学院 副研究员

2017.2-2018.7 美国哈佛大学Paulson工程与应用科学学院 博士后

2018.2-2018.7 美国Sansum糖尿病研究中心 Adjunct Investigator

2018.7至今 北京理工大学自动化学院 准聘教授、博士生导师

研究方向

复杂采样控制系统分析与设计(及在精准医学、机器人及工业过程中的应用),具体包括:

1. 事件触发的采样控制、估计与学习

2. 闭环给药系统控制算法设计与实现

3. 基于图像信息的感知、控制与决策

近5年承担的科研项目

1、“事件驱动下信息-物理融合系统最优状态估计理论与应用研究”,国家自然科学基金,2016-2018(项目负责人)

2.“人工胰岛智能系统事件触发自抗扰控制器设计与实现”,北京市自然科学基金,2019-2021(项目负责人)

代表性学术论文

[1] Jiarao Huang, Dawei Shi* and Tongwen Chen. “Robust event-triggered state estimation: A risk-sensitive approach," Automatica, 99, 253-265, Jan. 2019. (Regular Paper)

[2] Dawei Shi*, Tongwen Chen and Mohamed Darouach. “Event-based state estimation of linear dynamic systems with unknown exogenous inputs," Automatica, 69, pp. 275-288, 2016. (Regular Paper)

[3] Dawei Shi*, Robert J. Elliott and Tongwen Chen. “Event-based state estimation of discrete-state hidden Markov models," Automatica, 65, pp. 12-26, 2016. (Regular Paper)

[4] Dawei Shi*, Ziyang Guo, Karl H. Johansson and Ling Shi. “Causality countermeasures for anomaly detection in cyber physical systems," IEEE Transactions on Automatic Control, 63(2), 386-401, 2018. (Regular Paper)

[5] Dawei Shi*, Robert J. Elliott and Tongwen Chen. “On finite-state stochastic modeling and secure estimation of cyber physical systems," IEEE Transactions on Automatic Control, 62(1), pp. 65-80, 2017. (Regular Paper)

[6] Yue Cheng, Dawei Shi*, Tongwen Chen and Zhan Shu. “Optimal data scaling for principal component pursuit: A Lyapunov approach to convergence," IEEE Transactions on Automatic Control, 60(8), 2057-2071, 2015. (Regular Paper)

[7] Dawei Shi*, Tongwen Chen and Ling Shi. “On set-valued Kalman filtering and its application to event-based state estimation," IEEE Transactions on Automatic Control, 60(5), 1275-1290, 2015. (Regular Paper)

[8] Dawei Shi, Tongwen Chen and Ling Shi. “Event-triggered maximum likelihood state estimation," Automatica, 50(1), pp. 247-254, 2014.

[9] Dawei Shi, Tongwen Chen and Ling Shi. “An event-triggered approach to state estimation with multiple point- and set-valued measurements," Automatica, 50(6), pp. 1641-1648, 2014.

[10] Ziyang Guo, Dawei Shi*, Daniel E. Quevedo and Ling Shi. “Secure state estimation against integrity attacks: A Gaussian mixture model approach," IEEE Transactions on Signal Processing, 67(1), pp. 194-207, 2019. (Regular Paper)

[11] Dawei Shi*, Jian Xue, Lixun Zhao, Junzheng Wang and Yuan Huang. “Event-triggered active disturbance rejection control of DC torque motors," IEEE/ASME Transactions on Mechatronics, 22(5), 2277-2287, 2017.

[12] Dawei Shi, Eyal Dassau, Francis J. Doyle III*. “Adaptive zone model predictive control of artificial pancreas based on glucose- and velocity-dependent control penalties," IEEE Transactions on Biomedical Engineering, 66(4), 1045-1054, 2019.

[13] Dawei Shi*, Jian Xue, Junzheng Wang, Yuan Huang. "A high-gain approach to event-triggered control with application to motor systems," accepted to IEEE Transactions on Industrial Electronics, Sept. 2018.

[14] Yuan Huang, Junzheng Wang, Dawei Shi* and Ling Shi, "Performance Assessment of Discrete-Time Extended State Observers: Theoretical and Experimental Results," IEEE Transactions on Circuits and Systems I: Regular Papers, 65(7), 2256-2268, 2018.

[15] Ziyang Guo, Dawei Shi, Karl H. Johansson and Ling Shi. “Optimal linear cyber-attack on remote state estimation," IEEE Transactions on Control of Network Systems, 4(1), 4-13, 2017. (Special Issue Paper) 

[16] Wentao Chen, Dawei Shi*, Junzheng Wang and Ling Shi. “Event-triggered state estimation: Experimental performance assessment and comparative study," IEEE Transactions Control Systems Technology, 25(5), pp. 1865-1872, 2017.

授权国家发明专利及出版专著

授权发明专利

1、Ning He, Dawei Shi, Michael Forbes, Johan Backstrom and Tongwen Chen. ''Method and apparatus for robust tuning of model-based process controllers used with uncertain         multiple-input, multiple-output (MIMO) processes,'' U.S. Patent US 2016/0357162, Application No. 14/729,930, Publication Date: 12/08/2016; Filing Date: 06/03/2015; Assignee: Honeywell ASCa Inc.

International Patent WO/2016/191849, International Application No.: PCT/CA2016/000153; Publication Date: 12/08/2016; International Filing Date: 05/18/2016; Applicants: Honeywell Limited.

2、Dawei Shi, Jiadong Wang, Michael Forbes, Johan Backstrom and Tongwen Chen. "Method and apparatus for specifying and visualizing robust tuning of model-based controllers," U.S. Patent US 2015/0268645, Application No. 14/314,221, Publication Date: 09/24/2015; Filing Date: 06/25/2014; Assignee: Honeywell ASCa Inc.

International Patent WO/2015/139112, International Application No.: PCT/CA2015/000146; Publication Date: 09/24/2015; International Filing Date: 03/10/2015; Applicants: Honeywell Limited.

专著

Dawei Shi, Ling Shi and Tongwen Chen. ''Event-Based State Estimation: A Stochastic Perspective,'' Springer, 2016. (ISBN: 978-3-319-26604-6)

科研获奖

1、2016年 Automatica杰出审稿人
2、2015年 张嗣瀛(CCDC)优秀青年论文提名奖

讲授课程、出版教材及教学成果

1、复变函数与积分变换            32学时    本科生必修课程
2、复杂采样控制系统分析与设计    32学时    研究生学位课

讲授课程

出版教材

教学成果

学术兼职

1、中国系统仿真学会智能物联系统建模与仿真专业委员会委员 2015.12至今)

2、中国自动化学会控制理论专业委员会网络化控制系统学组委员(2015.07至今)

3、美国Mathematical Reviews评论员(2016.04至今)

4、European Journal of Control、IEEE Access客座编委

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