千赢国/qy88千嬴国际官网-手机版

师资队伍
何潇

长聘副教授

博士生导师

控制与决策研究所

自动化系副主任

电话: 010-62782422
地点:北京千赢国系


教育背景


2000年09月至2004年06月 北京理工大学电子工程系学习,获学士学位

2004年09月至2010年01月 千赢国系学习,获博士学位


工作履历


2010年01月至2011年11月 清华大学信息技术研究院 博士后

2011年02月至2011年04月 香港大学机械工程系 助理研究员

2011年11月至今 千赢国系 讲师、副研究员、副教授、长聘副教授

2015年11月至2020年02月 千赢国系 主任助理、系研工组长

2018年05月至2019年05月 清华大学党委研究生工作部 副部长(挂职)

2019年12月至今 千赢国系 副主任


学术兼职


1.IEEE, Senior Member (2020-)

2.“方崇智优秀论文奖”评奖委员会,副主任(2019-)

3.IFAC TC6.4: SAFEPROCESS,委员 (2018-)

4.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,秘书长(2018-)

5.中国仪器仪表学会物联网工作委员会,常务理事(2017-)

6.中国指挥与控制学会云控制与决策专业委员会,副主任(2017-)

7.中国自动化学会工业控制系统信息安全专业委员会,委员 (2016-)

8.北京自动化学会,理事 (2016-)

9.中国自动化学会过程控制专业委员会,委员 (2016-)

10.中国自动化学会青年工作委员会,常委 (2014-)

11.Sigma Xi, The Scientific Research Society,Full Member (2013-)

12.中国科学?信息科学,特邀编辑(2019-)

13.Control Engineering Practice,编委(2018-)

14.Journal of Advanced Computational Intelligence and Intelligent Informatics,编委 (2018-)

15.控制工程,编委 (2017-)

16.International Journal of Applied Mathematics and Computer Science,编委 (2016-)

17.Systems Science & Control Engineering,编委 (2012-)

18.Journal of The Franklin Institute,编委 (2013-2017)

19.Abstract and Applied Analysis,客座编辑 (2014-2015)

20.Journal of Control Science and Engineering,编委、客座主编 (2014-)

21.Mathematical Problems in Engineering,客座编辑 (2013-2014)

22.Journal of Engineering,编委 (2012-)


研究领域


1.机器人的群智能自主控制

主要包括旋翼无人机群通信约束下的故障诊断;旋翼无人机群的容错编队;多仿人机器人的协作控制等

2.高速列车信息控制系统的故障诊断

主要包括面向间歇故障的诊断;闭环系统的鲁棒故障诊断;数据驱动的故障诊断技术等

3.深海载人潜水器的容错控制与自救

主要包括动态系统的主动故障诊断;微小故障的诊断与识别;人在回路复杂系统的安全性评估等


研究概况


1.教育部联合基金一般项目(6141A02022380): 无人机综合智能自主定位导航编队及回收控制技术, 项目负责人, 2019-2021.

2.国家自然科学基金重点项目(61733009): 深海载人潜水器的精细容错控制与自救技术, 项目负责人, 2018-2022.

3.广东省科技创新战略专项资金重点项目: 石化装备闭环非线性系统故障诊断基础研究, 主要合作者, 2018

4.工业与信息化部“智能船舶1.0研发专项——智能系统总体技术及信息平台开发”子课题, 清华大学负责人, 2017-2019.

5.国家自然科学基金优秀青年科学基金项目(61522309): 故障诊断与容错控制, 项目负责人, 2016-2018.

6.国家自然科学基金重大项目课题(61490701): 高速列车信息控制系统间歇故障实时诊断理论与方法, 主要参与者, 2015-2019.

7.国家自然科学基金面上项目(61473163): 群体自主机器人系统的故障诊断与容错控制, 项目负责人, 2015-2018.

8.国家自然科学基金重大项目课题(61290324): 大型高炉非正常工况诊断与安全运行方法及实现技术, 主要参与者, 2013-2017.

9.国家自然科学基金重大国际合作项目(61210012): 旋翼无人机群安全编队飞行中的若干关键理论问题研究, 主要参与者, 2013-2017.

10.国家自然科学基金面上项目(61074084): 一类非线性网络化系统的鲁棒主动容错控制方法研究, 项目负责人, 2011-2013.

11.中国博士后科学基金特别资助项目(201104108): 基于无线网络的故障诊断技术及其硬件实现, 独立承担者, 2011-2012.

12.中国博士后科学基金面上项目(20100470294): 随机网络化系统的鲁棒故障检测, 独立承担者, 2010-2012.

13.Sigma Xi基金会研究资助项目(G2009151295): Fault Detection and Fault-tolerant Control for Networked Systems, 独立承担者, 2010.


奖励与荣誉


1.2019年麒麟科学技术奖(首都优秀科技创新奖)(1/3)

2.2019年清华大学优秀党建与思想政治工作者

3.2018年清华大学优秀招生教师

4.2018年中国自动化学会优秀博士学位论文导师奖

5.2018年吉林省科技进步一等奖(3/15)

6.2017年中国石油和化工自动化应用协会科技进步一等奖(7/15)

7.2017年广东省科学技术奖二等奖(6/10)

8.2017年清华大学优秀博士学位论文指导教师

9.2016年度清华大学优秀国防生导师

10.2016年度中国自动化学会高等教育教学成果奖二等奖(5/5)

11.2015年中国自动化学会自然科学一等奖(2/4)

12.2015年Systems Science & Control Engineering杰出审稿人

13.2012 年IFAC SAFEPROCESS Frank最佳理论论文提名奖(1/4)

14.2011年中国自动化学会自然科学一等奖(4/5)

15.2010年IEEE Transactions on Automatic Control杰出审稿人

16.2010年清华大学优秀博士毕业生

17.2010年清华大学优秀博士论文


学术成果


专著

[1] Qinyuan Liu, Zidong Wang, Xiao He, Stochastic Control and Filtering over Constrained Communication Networks, Springer, 2019 (ISBN 978-3-030-00156-8)

期刊论文

[2] Maiying Zhong, Steven X. Ding, Donghua Zhou, Xiao He, An H-infinity optimization approach to event-triggered fault detection for linear discrete time systems. IEEE Transactions on Automatic Control, provisionally accepted.

[3] Junfeng Zhang, Panagiotis D. Christofides, Xiao He, Fahad Albalawi, Yinghong Zhao, Donghua Zhou. Intermittent sensor fault detection for stochastic LTV systems with parameter uncertainty and limited resolution. International Journal of Control, online.

[4] Junfeng Zhang, Xiao He, Donghua Zhou. Distributed filtering over wireless sensor networks with parameter and topology uncertainties. International Journal of Control, online.

[5] Junfeng Zhang, Panagiotis D. Christofildes, Xiao He, Yinghong Zhao, Zhihao Zhang, Donghua Zhou, Robust detection of intermittent multiplicative sensor fault, Asian Journal of Control, online, 2019.

[6] Chen Gao, Xiao He. Consensus control for multi-agent sytems subject to actuator saturations. Acta Aeronautica et Astronautica Sinica, 2020, 41(S1):723760. (In Chinese)

[7] Xiao He, Yaqi Guo, Zhao Zhang, Fanlin Jia, Donghua Zhou, Active fault diagnosis for dynamic systems. Acta Automatica Sinica, online, 2020. (In Chinese)

[8] Donghua Zhou, Yinghong Zhao, Zidong Wang, Xiao He, and Ming Gao, Review on diagnosis techniques for intermittent faults in dynamic systems. IEEE Transactions on Industrial Electronics, vol. 67, no. 3, pp. 2337-2347, 2020.

[9] Hongyang Li, Junfeng Zhang, Xiao He. Design of data-injection attacks for cyber-physical systems based on Kullback-Leibler divergence, Neurocomputing, vol.361, pp.77-84, 2019.

[10] Jianxun Zhang, Changhua Hu, Xiao He, Xiaosheng Si, Yang Liu, Donghua Zhou, A novel lifetime estimation method for two-phase degrading systems, IEEE Transactions on Reliability, vol. 68, no. 2, pp. 689-709, 2019.

[11] Qinyuan Liu, Zidong Wang, Xiao He, Donghua Zhou, Event-based distributed filtering over Markovian switching topologies, IEEE Transactions on Automatic Control, vol. 64, no. 4, pp. 1595-1602, 2019.

[12] Bangcheng Zhang, Yuankun Sui, Qianying Bu, Xiao He, Remaining useful life estimation for micro switches of railway vehicles, Control Engineering Practice, vol. 84, pp. 82-91, 2019.

[13] Hongyang Li, Muheng Wei, Jie Huang, Bohua Qiu, Ye Zhao, Wencheng Luo, Xiao He, Xiao He, Survey on cyber-physical systems, Acta Automatica Sinica, vol. 45, no. 1, 2019. (In Chinese)

[14] Liguo Qin, Xiao He, Rui Yan, Ruiliang Deng, Donghua Zhou, Distributed sensor fault diagnosis for a formation of multi-vehicle systems, Journal of the Franklin Institute-Engineering and Applied Mathmatics, vol. 356, no. 2, pp. 791-818, 2019.

[15] Donghua Zhou, Liguo Qin, Xiao He, Rui Yan, Ruiliang Deng, Distributed sensor fault diagnosis for a formation system with unknown constant time delays, Science China: Information Science, vol. 61, no. 112205, pp.1-16, 2018.

[16] Junfeng Zhang, Panagiotis D. Christofides, Xiao He, Zhe Wu, Zhihao Zhang, Donghua Zhou. Event-triggered filtering and intermittent fault detection for time-varying systems with stochastic parameter uncertainty and sensor saturation. International Journal of Robust and Nonlinear Control, vol. 28, no. 16, pp. 4666-4680, 2018.

[17] Xiao He, Zidong Wang, Zhijie Zhou, Youqing Wang, Qiang Liu, Fault diagnosis and application to modern systems 2018, Journal of Control Science and Engineering, vol. 2018, Article ID 8460541, 3 pages, 2018 (Editorial).

[18] Hongquan Ji, Xiao He, D. H. Zhou, Diagnosis of sensor precision degradation using Kullback-Leibler divergence, Canadian Journal of Chemical Engineering, vol. 96, no. 138, pp. 343-443, 2018.

[19] Ye Zhao, Xiao He, Donghua Zhou, Distributed filtering for time-varying networked systems with Sensor gain degradation and energy constraint: a centralized finite-time communication protocol scheme, Science China: Information Sciences, vol. 61, no. 092208, pp. 1-12, 2018.

[20] Qinyuan Liu, Zidong Wang, Xiao He, Donghua Zhou, On Kalman-consensus filtering with random link failures over sensor networks, IEEE Transactions on Automatic Control, vol. 63, no. 8, pp. 2701-2708, 2018.

[21] Qinyuan Liu, Zidong Wang, Xiao He, Donghua Zhou, Event-triggered resilient filtering with measurement quantization and random sensor failures: monotonicity and convergence, Automatica, vol. 94, pp.458-464, 2018.

[22] D. H. Zhou, Hongquan Ji, Xiao He, Jun Shang, Fault detection and isolation of the brake cylinder system for electric multiple units, IEEE Transactions on Control Systems Technology, vol. 26, no. 5, pp.1744-1757, 2018.

[23] Rongyi Yan, Xiao He, Zidong Wang, Donghua Zhou, Detection, isolation and diagnosability analysis of intermittent faults in stochastic systems, International Journal of Control, vol. 91, no. 2, pp. 480-494, 2018.

[24] Junfeng Zhang, Xiao He, D. H. Zhou. Filtering for stochastic uncertain systems with non-logarithmic sensor resolution. Automatica, vol. 89, no. 3, pp. 194-200, 2018.

[25] Hongquan Ji,Xiao He, Jun Shang, Donghua Zhou. Exponential smoothing reconstruction approach for incipient fault isolation. Industrial & Engineering Chemistry Research, vol. 57, no. 18, pp. 6353-6363, 2018.

[26] Donghua Zhou, Hongquan Ji, Xiao He, Fault diagnosis techniques for the information control system of high-speed trains, Acta Automatica Sinica, vol. 44, no. 7, pp. 1153-1164, 2018. (In Chinese)

[27] Junfeng Zhang, Xiao He, Donghua Zhou, Robust optimal filtering for linear time-varying systems with stochastic uncertainties, IET Control Theory & Application, vol. 11, no. 18, pp. 3297-3304, 2017.

[28] Liguo Qin, Xiao He, Donghua Zhou, Distributed proportion-integration-derivation formation control for second-order multi-agent systems with communication time delays, Neurocomputing, vol. 267, pp. 271-282, 2017.

[29] Jianxun Zhang, Changhua Hu, Xiao He, Xiaosheng Si, Yang Liu Donghua Zhou. Lifetime prognostics for deteriorating systems with time-varying random jumps, Reliability Engineering and System Safety, vol. 167, no. SI, pp. 338-350, 2017.

[30] Jiantao Shi, Yuhao Yang, Jun Sun, Xiao He, Donghua Zhou, Yisheng Zhong, Fault-tolerant formation control of non-linear multi-vehicle systems with application to quadrotors, IET Control Theory & Applications, vol. 11, no. 17, pp.3179-3190, 2017.

[31] Liguo Qin, Xiao He, Donghua Zhou, Fault-tolerant cooperative output regulation for multi-vehicle systems with sensor faults, International Journal of Control, vol. 90, no. 10, pp. 2227-2248, 2017.

[32] Qinyuan Liu, Zidong Wang, Xiao He, Gheorghita Ghinea, Fuad E. Alsaadi, A resilient approach to distributed filter design for time-varying systems under stochastic nonlinearities and sensor degradation, IEEE Transactions on Signal Processing, vol. 65, no. 5, pp. 1300-1309, 2017.

[33] Jianxun Zhang, Xiao He, Xiaosheng Si, Changhua Hu, Donghua Zhou, A novel multi-phase stochastic model for Lithium-Ion batteries’ degradation with regeneration phenomena, Energies, vol. 10, no. 11, pp. 1-24, 2017.

[34] Liguo Qin, Xiao He, Rui Yan, Donghua Zhou. Active fault-tolerant control for a quadrotor with sensor faults. Journal of Intelligent & Robotic Systems, vol. 88, no. 2-4, pp. 449-467, 2017.

[35] Yang Liu, Zidong Wang, Xiao He, Donghua Zhou, Finite-horizon quantized H-infinity filter design for a class of time-varying nonlinear systems under event-triggered transmissions, System & Control Letters, vol. 103, pp. 38-44, 2017.

[36] Yinghong Zhao, Xiao He, Donghua Zhou, Optimal joint control and triggering strategies against denial of service attacks: a zero-sum game, IET Control Theory & Applications, vol. 11, no. 14, pp. 2352-2360, 2017.

[37] Xiao He, Zidong Wang, Gang Li, Zhijie Zhou, Youqing Wang, Fault diagnosis and application to modern systems, Journal of Control Science and Engineering, vol. 2017, Article ID: 1026759, 3 pages, 2017 (Editorial).

[38] Xiao He, Zidong Wang, Yang Liu, Liguo Qin, D. H. Zhou, Fault tolerant control for an Internet-based three-tank system: accommodation to sensor bias faults, IEEE Transactions on Industrial Electronics, vol. 64, no. 3, pp. 2266-2275, 2017.

[39] Xiao He, Yamei Ju, Yang Liu, Bangcheng Zhang, Cloud-based fault tolerant control for a DC motor system, Journal of Control Science and Engineering, Vol. 2017, Article ID: 5670849, 10 pages, 2017.

[40] Jie Huang, Xiao He, Detection of intermittent fault for discrete-time systems with output dead-zone: a variant Tobit Kalman filtering approach, Journal of Control Science and Engineering, Article ID 7849841, 9 pages, 2017.

[41] Yang Liu, Zidong Wang, Xiao He, D. H. Zhou. A class of observer-based fault diagnosis schemes under closed-loop control: Performance evaluation and improvement, IET Control Theory & Applications, vol. 11, no. 1, pp. 135-141, 2017.

[42] Hongquan Ji, Xiao He, Jun Shang, Donghua Zhou, Incipient fault detection with smoothing techniques in statistical process monitoring, Control Engineering Practice, vol. 62, pp. 11-21, 2017.

[43] Xiao He, Zidong Wang, Liguo Qin, Donghua Zhou, Active fault tolerant control for an Internet-based networked three-tank system, IEEE Transactions on Control Systems Technology, vol. 24, no. 6, pp. 2150-2157, 2016.

[44] Yang Liu, Zidong Wang, Xiao He, Donghua Zhou. Minimum-variance recursive filtering over sensor networks with stochastic sensor gain degradation: algorithms and performance analysis, IEEE Transactions on Control of Network Systems, vol. 3, no. 3, pp. 265-274, 2016.

[45] Yang Liu, Zidong Wang, Xiao He, Donghua Zhou, H-infinity filtering for non-linear systems with stochastic sensor saturations and Markov time-delays: the asymptotic stability in probability, IET Control Theory & Applications, vol. 10, no. 14, pp. 1706-1715, 2016.

[46] Rongyi Yan, Xiao He, Donghua Zhou, Detection of intermittent faults for stochastic systems subject to time-varying parametric perturbations. IET Control Theory & Applications, vol. 10, no. 8, pp. 903-910, 2016.

[47] Rongyi Yan, Xiao He, Donghua Zhou, Detecting intermittent sensor faults for linear stochastic systems subject to unknown disturbance, Journal of the Franklin Institute, vol. 353, no. 17, pp. 4737-4753, 2016.

[48] Junfeng Zhang, Xiao He, Donghua Zhou. Generalised proportional-integral-derivative filter, IET Control Theory & Application, vol. 10, no. 17, pp. 2339-2347, 2016.

[49] Limin Wang, Xiao He, Donghua Zhou, Average dwell time-based optimal iterative learning control for multi-phase batch processes, Journal of Process Control, vol. 40, pp, 1-12, 2016.

[50] Hongquan Ji, Xiao He, Donghua Zhou. On the use of reconstruction-based contribution for fault diagnosis. Journal of Process Control, vol. 40, pp. 24-34, 2016.

[51] Hongquan Ji, Xiao He, Jun Shang, Donghua Zhou, Incipient sensor fault diagnosis using moving window reconstruction-based contribution. Industrial & Engineering Chemistry Research, vol. 55, no. 10, pp. 2746-2759, 2016.

[52] Jiantao Shi, Xiao He, D. H. Zhou, Iterative learning control for nonlinear stochastic systems with variable pass length, Journal of the Franklin Institute, vol. 353, no.15, pp: 4016-4038, 2016.

[53] Jiantao Shi, Xiao He, Donghua Zhou, Iterative learning based estimation of periodically occurring faults. IET Control Theory and Applications, vol, 10, no. 2, pp. 244-251, 2016.

[54] Rongyi Yan, Xiao He, D. H. Zhou, Robust diagnosis of intermittent faults for linear stochastic systems subject to time-varying perturbations, Acta Automatica Sinica, vol. 42, no. 7, pp. 1004-1013, 2016.(In Chinese)

[55] Qinyuan Liu, Zidong Wang, Xiao He, Donghua Zhou, Event-based H-infinity consensus control of multi-agent systems with relative output feedback: the finite-horizon case. IEEE Transactions on Automatic Control, vol. 60, no. 9, pp. 2553-2558, 2015.

[56] Qinyuan Liu, Zidong Wang, Xiao He, D. H. Zhou, Event-based recursive distributed filtering over wireless sensor networks, IEEE Transactions on Automatic Control, vol. 60, no. 9, pp.2470-2475, 2015.

[57] Qinyuan Liu, Zidong Wang, Xiao He, D. H. Zhou, Event-based distributed filtering with stochastic measurement fading, IEEE Transactions on Industrial Informatics, vol. 11, no. 6, pp. 1643-1652, 2015.

[58] Yang Liu, Zidong Wang, Xiao He, D. H. Zhou, Filtering and fault detection for nonlinear systems with polynomial approximation. Automatica, vol. 54, pp. 348-359, 2015.

[59] Xiao He, Zidong Wang, Xiaofeng Wang, Donghua Zhou, Networked strong tracking filtering with multiple packet dropouts: algorithms and applications. IEEE Transactions on Industrial Electronics, vol. 61, no. 3, pp. 1454-1463, 2014.

[60] Yang Liu, Xiao He, Zidong Wang, Donghua Zhou, Optimal filtering for networked systems with stochastic sensor gain degradation. Automatica, vol. 50, no. 5, pp. 1521-1525, 2014.

[61] Jiantao Shi, Xiao He, Zidong Wang, D. H. Zhou, Distributed fault detection for a class of second-order multi-agent systems: an optimal robust observer approach. IET Control Theory and Applications, vol. 8, no. 12, pp. 1032-1044, 2014.

[62] Qinyuan Liu, Zidong Wang, Xiao He, Donghua Zhou, A survey of event-based strategies on control and estimation. Systems Science and Control Engineering: An Open Access Journal, vol. 2, no. 1, pp. 90-97, 2014.

[63] Liguo Qin, Xiao He, Donghua Zhou, A survey of fault diagnosis for swarm systems, Systems Science & Control Engineering: An Open Access Journal, vol.2, no.1, pp.13-23, 2014.

[64] Yanyan Hu, Xiao He, Lan Zhang, Changyin Sun, IMM fusion estimation with multiple asynchronous sensors. Signal Processing, vol. 102, pp. 46-57, 2014.

[65] Donghua Zhou, Jiantao Shi, Xiao He, Review of intermittent fault diagnosis techniques for dynamic systems. Acta Automatica Sinica, Vol. 41, No. 2, pp. 161-171, 2014. (In Chinese)

[66] Jiantao Shi, Xiao He, Zidong Wang, D. H. Zhou, Iterative consensus for a class of second-order multi-agent systems. Journal of Intelligent & Robotic Systems, vol. 73, no. 1-4, pp. 655-664, 2014.

[67] Xiao He, Yanyan Hu, Kaixiang Peng, Intermittent fault detection for uncertain networked systems. Mathematical Problems in Engineering, article ID 282168, pp. 1-10, 2013.

[68] Jie Wang, Qun Zong, Xiao He, H. R. Karimi, Adaptive finite-time control for a flexible hypersonic vehicle with actuator fault. Mathematical Problems in Engineering, vol. 2013, article ID 920796, 2013.

[69] Donghua Zhou, Yang Liu, Xiao He, Review of fault diagnosis techniques for closed-loop systems. Acta Automatica Sinica, in press, 2013. (In Chinese)

[70] Xiao He, Zidong Wang, Yang Liu, D. H. Zhou, Least-squares fault detection and diagnosis for networked sensing systems using direct state estimation approach. IEEE Transactions on Industrial Informatics, vol. 9, no. 3, pp. 1670-1679, 2013.

[71] Xiao He, Zidong Wang, Yindong Ji, Donghua Zhou, State estimation for networked systems with randomly occurring quantisations. International Journal of Systems Science, vol. 44, no. 7, pp. 1253-1263, 2013.

[72] Donghua Zhou, Xiao He, Zidong Wang, Guoping Liu, Yindong Ji, Leakage fault diagnosis for Internet-based three-tank system: an experimental study. IEEE Transactions on Control Systems Technology, vol. 20, no. 4, pp. 857-870, 2012.

[73] Xiao He, Zidong Wang, D. H. Zhou, Robust fault detection for networked systems with distributed sensors. IEEE Transactions on Aerospace and Electronic Systems, vol. 47, no. 1, pp. 166-177, 2011.

[74] Xiao He, Zidong Wang, Yindong Ji, Donghua Zhou, Fault detection for discrete-time systems in a networked environment. International Journal of Systems Science, vol. 41, no. 8, pp. 937-945, 2010.

[75] Xiao He, Zidong Wang, Donghua Zhou, Robust fault detection for networked systems with communication delay and data missing. Automatica, vol. 45, no. 11, pp. 2634-2639, 2009.

[76] Xiao He, Zidong Wang, Donghua Zhou, Robust H-infinity filtering for time-delay systems with probabilistic sensor faults. IEEE Signal Processing Letters, vol.16, no.5, pp. 442-445, 2009.

[77] Xiao He, Zidong Wang, Donghua Zhou, Network-based robust fault detection with incomplete measurements. International Journal of Adaptive Control and Signal Processing, vol.23, no.8, pp.737-756, 2009.

[78] Xiao He, Zidong Wang, Donghua Zhou, Networked fault detection with random communication delays and packet losses. International Journal of Systems Science, vol.39, no.11, pp.1045-1054, 2008.

[79] Xiao He, Zidong Wang, Donghua Zhou, State estimation for time-delay systems with probabilistic sensor gain reductions. Asia-Pacific Journal of Chemical Engineering, vol.3, no.6, pp.712-716, 2008.

[80] Xiao He, Zidong Wang, Yindong Ji, Donghua Zhou, Network-based fault detection for discrete-time state-delay systems: a new measurement model. International Journal of Adaptive Control and Signal Processing, vol.22, no.5, pp. 510-528, 2008.

[81] Xiao He, Zidong Wang, Donghua Zhou, Robust H-infinity filtering for networked systems with multiple state delays. International Journal of Control, vol.80, no.8, pp.1217-1232, 2007.

会议论文

[82] Yinghong Zhao, Xiao He, D.H. Zhou, Detecting intermittent faults with moving average techniques, IEEE 15th International Conference on Automation Science and Engineering (CASE 2019), Vancouver, BC, Canada,1712-1717, 2019.

[83] Zhao Zhang, Jie Huang, Xiao He, A geometric approach to fault detection and isolation of linear discrete-time systems, 2019 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS), Xiamen, China, 2019.

[84] Chang Liu, Yi Zhang, Xiao He, Safety assessment of the JiaoLong deep-sea manned submersible based on Bayesian network, 2019 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS), Xiamen, China, 2019.

[85] Xu Chen, Xiao He, Design of a fault diagnosis system for the JIAOLONG deep-sea manned vehicle, 2019 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS), Xiamen, China, 2019.

[86] Rongyi Yan, Xia Hui, Liang Tong, Xiao He, Detecting and estimating intermittent actuator faults in linear stochastic systems, 2019 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS), Xiamen, China, 2019.

[87] Yi Zhang, Zhongjun Ding , Chang Liu, Haibin Qi , Qingxin Zhao , Jie Huang, Xiao He, Safety-oriented fault monitoring for manned deep-sea submersibles, 2019 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS), Xiamen, China, 2019.

[88] Hongyang Li, Xiao He, Yufeng Zhang, Wenyuan Guan, Attack detection in cyber-physical systems using particle filter: an illustration on three-tank system, Proceedings of 2018 IEEE 8th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, July 19-23, 2018, Tianjin, China.

[89] Junfeng Zhang, Xiao He, Donghua Zhou, Robust filtering and intermittent fault detection for time-varying systems with stochastic parameter uncertainty and sensor saturation. 10th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes SAFEPROCESS 2018, Warsaw, Poland, vol. 51, Issue 24, pp. 1324-1329, 29-31 August, 2018.

[90] Yinghong Zhao, Xiao He, Donghua Zhou, Intermittent fault detection with T2 control chart. 10th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes SAFEPROCESS 2018, Warsaw, Poland, vol. 51, Issue 24, pp. 1298-1304, 29-31 August, 2018.

[91] Liguo Qin, Xiao He, Donghua Zhou, Jian Cui, Fei Li, Guo Wang, A new local-model-based distributed fault diagnosis scheme for multi-agent systems with actuator faults, 10th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes SAFEPROCESS 2018, Warsaw, Poland, vol. 51, Issue 24, pp. 292-299, 29-31 August, 2018.

[92] Chen Gao, Xiao He, Fault-tolerant consensus control for multi-agent systems with actuator saturation, 33rd Youth Academic Annual Conference of Chinese Association of Automation (YAC), May 18-20, 2018, Nanjing, China.

[93] Ye Zhao, Xiao He, D. H. Zhou, Distributed fault source detection and topology accommodation design of wireless sensor networks. In Proceeding of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, November 29-October 1, 2017, pp. 5529-5534.

[94] Jianxun Zhang, Changhua Hu, Xiao He, Xiaosheng Si, Donghua Zhou. Lifetime estimation for Battery with the regeneration phenomena in both degradation state and rate, 2017 Prognostics and System Health Management Conference, July, 2017.

[95] Yinghong Zhao, Xiao He, Donghua Zhou, A comparative study on intermittent fault detection of data-based process monitoring approaches. 28th Chinese Process Control Conference (CPCC), Chongqing, China, July 30-Augest.1, 2017. (In Chinese)

[96] Jie Huang, Xiao He, Fault detection of nonlinear systems with missing measurements and censored data. In Proceeding of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, November 29-October 1, 2017, pp. 5797-5802.

[97] Hongyang Li, Xiao He, Fault detection and estimation for Markov jump linear systems with state delays. In Proceeding of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, November 29-October 1, 2017, pp. 7433-7438.

[98] Jianxun Zhang, Changhua Hu, Xiao He, Xiaosheng Si, Donghua Zhou. Risk evaluation for deteriorating systems with accuracy analysis of parameters estimation, 2016 Prognostics and System Health Management Conference, Chengdu, China, Oct. 19-21, 2016, pp. 1-6.

[99] Liguo Qin, Xiao He, Yan Zhou, Donghua Zhou, Fault-tolerant control for a quadrotor unmanned helicopter subject to sensor faults, 2016 International Conference on Unmanned Aircraft Systems (ICUAS), Arlington, VA USA, June 7-10, 2016, pp. 1280-1286.

[100] Rongyi Yan, Xiao He, D. H. Zhou, A diagnosis scheme for intermittent faults in active suspension systems of high speed trains, 12th World Congress on Intelligent Control and Automation, Guilin, China June 12-17, 2016, pp. 1297-1302.

[101] Hongquan Ji, Xiao He, Gang Li, D. H. Zhou. Determining the optimal kernel parameter in KPCA based on sample reconstruction. Proceedings of the 35th Chinese Control Conference, Chengdu, China, July 27-29, 2016, pp. 6408-6414.

[102] Hongquan Ji, Xiao He, Huasong Sai, D. H. Zhou. Fault detection of EMU brake cylinder. Proceedings of the 35th Chinese Control Conference, Chengdu, China, July 27-29, 2016, pp. 6668-6672.

[103] Yang Liu, Zidong Wang, Xiao He, D. H. Zhou. Observer design for systems with unknown inputs and missing measurements, Proceedings of the 35th Chinese Control Conference, Chengdu, China, July 27-29, 2016, pp. 1799-1803.

[104] Muheng Wei, Bohua Qiu, Yunpeng Jiang, Xiao He, Multi-sensor monitoring based on-line diesel engine anomaly detection with baseline deviation, 2016 Prognostics and System Health Management Conference (PHM-Chengdu), 19-21 Oct. 2016, Chengdu, China.

[105] Yang Liu, Xiao He, Zidong Wang, Donghua Zhou, Fault detection and diagnosis for a class of nonlinear systems with decentralized event-triggered transmissions. In Proceedings of the 9th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes (IFAC SAFEPROESS), Paris, France, September 2-4, 2015, pp. 1134-1139

[106] Junfeng Zhang, Xiao He, D. H. Zhou, Fault detection for wireless networked systems with compressed measurements. IEEE International Conference on Automation Science and Engineering (CASE), Gothenburg, Sweden, Aug 24-28, 2015, pp. 356-361.

[107] Qinyuan Liu, Zidong Wang, Xiao He, D. H. Zhou, Event-based filtering with individual triggering thresholds in wireless sensor network: Distributed detectability analysis, 34th Chinese Control Conference, Hangzhou, China, July 28-30, 2015, pp. 1734-1739. (This paper has been selected as a finalist for the IEEE CSS Beijing Chapter Young Author Award)

[108] Xiao He, Fault detection and diagnosis for networked three-tank systems. Proceeding of the 11th World Congress on Intelligent Control and Automation (WCICA), Shenyang, China, June 29-July 4, 2014, pp.1299-1303.

[109] Xiao He, Yinghong Zhao, Sensorless speed estimation of permanent magnet synchronous motor. In Proceedings of the 2014 International Conference on Mechatronics and Control (ICMC), Jinzhou, China, July 3-5, 2014, pp. 1142-1147.

[110] Qinyuan Liu, Zidong Wang, Xiao He, D. H. Zhou, Consensus-based recursive distributed filtering with stochastic nonlinearities over sensor networks. Proceedings of the 33rd Chinese Control Conference (CCC), Nanjing, China, July 28-30, 2014, pp. 310-315.

[111] Yang Liu, Zidong Wang, Xiao He, D. H. Zhou, Event-triggered fault estimation for nonlinear systems with missing measurements. Proceedings of the 33rd Chinese Control Conference (CCC), Nanjing, China, July 28-30, 2014, pp. 5533-5538.

[112] Yang Liu, Zidong Wang, Xiao He, D. H. Zhou, Event-triggered fault estimation for nonlinear systems with missing measurements, Proceedings of the 19th IFAC World Congress, Cape Town, South Africa, August 24-29, 2014, pp. 1855-1860.

[113] Jiantao Shi, Xiao He, Zidong Wang, D. H. Zhou, Consensus control for a class of second-order multi-agent systems: an iterative learning approach. 2013 International Conference on Unmanned Aircraft Systems (ICUAS’13), Atlanta, GA, USA, May 28-31, 2013, pp.885-893.

[114] Yang Liu, Zidong Wang, Xiao He, D. H. Zhou, Least square fault estimation for a class of sensor networks. In Proceeding of the 25th Chinese Control and Decision Conference, Guiyang, China, May 25-27, 2013, pp.4984-4988. (In Chinese)

[115] Rongyi Yan, Xiao He, Zidong Wang, D. H. Zhou, Distributed FDI for a class of LPV multi-agent system: a geometric approach. In Proceeding of the 25th Chinese Control and Decision Conference, Guiyang, China, May 25-27, 2013, pp.4379-4384. (In Chinese)

[116] Liguo Qin, Xiao He, Juan Li, D. H. Zhou, Fault diagnosis for open component capacitor in track circuits. In Proceeding of the 25th Chinese Control and Decision Conference, Guiyang, China, May 25-27, 2013, pp.4869-4873. (In Chinese)

[117] Jiantao Shi, Xiao He, Zidong Wang, D. H. Zhou, Iterative learning based fault estimation for nonlinear discrete-time systems. In Proceeding of the 25th Chinese Control and Decision Conference, Guiyang, China, May 25-27, 2013, pp.4781-4785. (In Chinese)

[118] Xiaofeng Wang, Xiao He, Zidong Wang, D. H. Zhou, Sensor fault estimation for a class of nonlinear networked systems. In Proceeding of the 25th Chinese Control and Decision Conference, Guiyang, China, May 25-27, 2013, pp.4967-4972 (In Chinese)

[119] Xiao He, Zidong Wang, Yindong Ji, D. H. Zhou, Active fault tolerant control for a class of networked systems with partial actuator failures. In Proceeding of the 8th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes (SAFEPROCESS 2012), Mexico City, Mexico, August 29-31, 2012, pp. 1299-1304. (Accession number: 20124115544689) (This paper has been selected as a finalist for the Paul Frank Theory Paper Award of the 8th IFAC SAFEPROCESS 2012 Symposium)

[120] Hongli Dong, Zidong Wang, Jinling Liang, Xiao He, Distributed filtering for a class of nonlinear systems with limited communication capacity. In Proceedings of the 31st Chinese Control Conference (CCC), Hefei, China, July 25-27, 2012, pp.6493-6498.

[121] Xiaofeng Wang, Xiao He, Zidong Wang, State estimation for a class of nonlinear systems with multi-package transmission. In Proceedings of the 10th World Congress on Intelligent Control and Automation (WCICA), Beijing, China, July 6-8, 2012, pp. 2221-2226.

[122] Xiao He, Zidong Wang, Yindong Ji, D. H. Zhou, H-infinity filtering for a class of networked systems with randomly occurring quantizations. In Proceeding of the Chinese Control Conference (CCC), Yantai, China, July 22-24, 2011, pp. 4687-4692.

[123] Weiwei Zhao, Xiao He, Yindong Ji, Robust H-infinity model reduction for a class of nonlinear time-varying systems with time delays. In Proceedings of the 11th International Conference on Control Automation Robotics & Vision (ICARCV 2010), Singapore, Singapore, December, 7-10, 2010, pp. 2391-2397.

[124] Xiao He, Zidong Wang, D. H. Zhou, LMI-based robust filtering - A survey. In Proceedings of the Chinese Control Conference (CCC), Kunming, China, July 16-18, 2008, pp. 165-169.

[125] Xiao He, Zidong Wang, D. H. Zhou, Fault detection for networked systems with incomplete measurements. In Proceedings of the 17th World Congress, International Federation of Automatic Control, Seoul, Korea, July 6-11, 2008, pp. 13557-13562.

专利

[126] 何潇, 周东华, 王子栋, 吉吟东, 刘洋. 一种网络化三容水箱系统的泄漏故障诊断方法及系统. 授权号: ZL201110089431.6, 2013.7.24

[127] 周东华, 何潇, 王子栋, 刘洋. 非线性系统的多项式滤波故障检测方法. 授权号: ZL201410095616.1, 2016.9.21

[128] 周东华, 何潇, 李钢, 纪洪泉. 用于非线性过程监控的核函数参数的获取方法和系统. 授权号: ZL201410218816.1, 2017.1.4.

[129] 周东华, 何潇, 纪洪泉. 一种动车组制动系统传感器故障的诊断方法. 授权号: ZL201510076002.3, 2017.4.26.

[130] 周东华, 何潇, 王子栋, 刘洋. 故障和状态的估计方法及装置. 授权号: ZL201310740077.8, 2017.5.24.

[131] 周东华, 何潇, 鄢镕易. 用于检测与分离列车主动悬架系统间歇故障的方法及系统. 授权号: ZL201510130478.0, 2017.6.13.

[132] 周东华, 何潇, 张峻峰, 张海峰. 一种异步牵引电机的故障检测方法. 授权号: ZL201510014727.X, 2017.6.16.

[133] 周东华, 何潇, 鄢镕易. ATO控制的高速列车制动系统间歇故障检测方法及系统. 授权号: ZL201510131743.7, 2017.8.4.

[134] 周东华, 纪洪泉, 何潇, 卢晓. 一种工业过程微小故障的检测和分离方法及其监测系统. 授权号: ZL201510661060.2, 2017.8.11.

[135] 周东华, 史建涛, 何潇, 卢晓. 考虑随机扰动的非线性多无人机系统容错编队控制方法. 授权号: ZL201510727798.4, 2017.11.14.

[136] 周东华, 何潇, 鄢镕易. 一种高速列车受电弓间歇故障检测方法. 授权号: ZL201510130498.8, 2017.12.19.

[137] 周东华, 何潇, 纪洪泉, 台秀华, 赛华松. 动车组空气制动控制系统传感器故障诊断的方法与系统. 授权号: ZL201510622722.5, 2018.1.12.

[138] 何潇, 周东华, 秦利国, 张海峰. 一种基于加权残差分量比较的故障分离方法及系统. 授权号: ZL201510473799.0, 2018.02.09.

[139] 周东华, 张峻峰, 何潇. 基于压缩测量数据检测系统故障的方法及系统. 授权号: ZL201510032994.X, 2018.1.16.

[140] 周东华, 纪洪泉, 何潇, 台秀华, 赛华松. 动车组制动缸故障监测方法及故障监测系统. 授权号: ZL201610065389.7, 2018.4.20.

[141] 李华丰, 何潇, 李福亮, 李建锋, 张娟, 李振峰. 激光线阵位移测量装置. 授权号: ZL201721530714.9, 2018.06.08.

[142] 周东华, 张峻峰, 何潇. 一种高速列车制动系统关键部件的状态监测方法和装置. 授权号: ZL201610896235.2, 2019.1.4.

[143] 周东华, 张峻峰, 何潇. 一种动车组制动系统关键部件鲁棒滤波方法和系统. 授权号: ZL201610899907.5, 2019.2.22.

[144] 周东华, 张峻峰, 何潇, 卢晓. 一种动车组制动系统间歇乘性传感器故障的鲁棒检测方法. 授权号: ZL201710554259.4, 2019.3.19.

[145] 周东华, 纪洪泉, 何潇, 卢晓. 一种工业过程微小故障的分离方法. 授权号: ZL201710532377.5, 2019.5.3.

[146] 周东华, 秦利国, 何潇, 卢晓. 一种无人机编队系统的分布式速度传感器故障诊断方法. 授权号: ZL201611165665.3, 2019.5.3.

[147] 周东华, 秦利国, 何潇, 卢晓. 一种时延无人机编队的分布式速度传感器故障诊断方法. 授权号: ZL201710554280.4, 2019.5.10.

[148] 周东华, 张峻峰, 何潇, 卢晓, 钟麦英, 王建东, 王友清. 考虑事件驱动及输出饱和的动车组鲁棒滤波故障检测方法. 授权号: ZL201810081180.9, 2019.8.9.

[149] 周东华, 张峻峰, 何潇. 一种无线传感器网络的鲁棒分布式滤波方法和装置. 授权号: ZL201610896232.9, 2019.11.8.

[150] 何潇, 郜晨. 一种用于架车机组的控制方法. 公开, 2018.01.05, CN201710604701.X.

[151] 周东华, 赵英弘, 何潇, 卢晓, 钟麦英, 王友清, 王建东. 一种基于多重T方控制图的高速列车间歇故障检测方法. 公开, 2019.02.12, CN201811250111.2.

[152] 周东华, 赵英弘, 何潇, 纪洪泉, 钟麦英, 王建东. 高速列车闭环刹车制动系统间歇故障检测方法. 公开, 2019.06.07, CN201910191195.5.

[153] 周东华, 张峻峰, 何潇, 郭天序, 钟麦英, 王友清. 闭环下高速列车制动系统间歇故障检测方法. 公开, 2019.06.04, CN201910186656.X.

承担课程

动态系统故障诊断与容错控制,春季学期,研究生,独立讲授

过程控制,春季学期,本科生,合作讲授


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