何潇 副教授

过程控制工程研究所  自动化系系主任助理

通信地址:北京清华大学自动化系 邮政编码:100084
联系电话:010-62782422    Fax: 010-62786911
Email: hexiao@tsinghua.edu.cn

教育背景

2000年9月至2004年6月 北京理工大学电子工程系信息工程专业学习,获学士学位

2004年9月至2010年1月 清华大学自动化系控制理论与控制工程专业学习,获博士学位

工作履历

2010年1月至2011年11月 清华大学信息技术研究院 博士后

2011年2月至2011年4月 香港大学机械工程系 助理研究员

2011年11月至今 清华大学自动化系 讲师、副研究员、副教授

学术兼职

1.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-)

2.北京自动化学会理事(2016-)

3.中国自动化学会过程控制专业委员会 委员(2016-)

4.中国指挥与控制学会智能控制与系统专业委员会 委员(2016-)

5.中国自动化学会 高级会员(2013-)

6.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、副秘书长(2015-)

7.中国自动化会控制理论专业委员会随机系统控制分委员会 委员(2014-)

8中国自动化学会青年工作委员会 委员(2014-)

9.中国航空学会 会员(2014-)

10.国际空中机器人大赛(亚太赛区)技术委员会 委员(2013-)

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

12.香港研资局(RGC)海外项目评阅人(2013-)

13.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(2013-)

14.美国电气和电子工程师协会(IEEE) 会员(2012-)

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

16.Systems Science & Control Engineering 编委(2012-)

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

18.Journal of Control Science and Engineering编委(2014-2017)

19.Journal of Engineering 编委(2012-)


研究领域

1.网络化系统的鲁棒滤波、故障诊断与容错控制;

网络化系统的鲁棒状态估计;

网络化系统的故障检测、分离、估计及主动容错。

2.无人机(群)智能自主控制中的安全性问题;

非线性系统的鲁棒快速故障诊断与容错控制;

通信约束下的故障诊断;

微小故障的识别与诊断。

3.高速列车信息控制系统的故障诊断;

闭环系统的故障诊断;

高速列车信息控制系统的动态故障诊断。 

研究概况

1.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.

2.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.

3.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.

4.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.

5.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.

6.国家自然科学基金重点国际合作项目(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.

7.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.

8.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.

9.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.

10.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.

11.清华大学青年教师自主选题基础研究(2012THZ0): 无人直升机的主动容错飞行, 项目负责人, 2012-2015.

12.广东省石化装备故障诊断重点实验室开放基金项目(GDUPTKLAB201503): 随机网络化系统的鲁棒故障估计, 项目负责人, 2015-2016.

13.重庆交通大学水利水运工程教育部重点实验室开放基金项目(SLK2010): 基于网络数据传输的大坝健康诊断技术研究, 项目负责人, 2011-2012.

奖励与荣誉

1.2015年中国自动化学会自然科学一等奖(2/4)

2.2015年西安市科学技术三等奖(4/7)

3.2012 年IFAC SAFEPROCESS Frank最佳理论论文提名奖(1/4)

4.2011年中国自动化学会自然科学一等奖(4/5)

5.2010年山东高等学校优秀科研成果奖三等奖(2/5)

6.2010年IEEE Transactions on Automatic Control杰出审稿人

7.2010年清华大学优秀博士毕业生

8.2010年清华大学优秀博士论文

9.2008年入选IFAC基金会年轻作者资助计划

10.2008年清华大学自动化系学术新秀

11.2003年第六届全国大学生电子设计竞赛全国一等奖

学术成果

期刊论文
[1]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, minor revision.

[2]Yang Liu, Zidong Wang, Xiao He, D. H. Zhou, Finite-horizon quantized H-infinity filter design for a class of time-varying nonlinear systems under event-triggered transmissions, System Control Letters, accepted.

[3]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, online.

[4]Liguo Qin, Xiao He, D. H. Zhou, Fault-tolerant cooperative output regulation for multi-vehicle systems with sensor faults, International Journal of Control, online, 2017.

[5]Rongyi Yan, Xiao He, Zidong Wang, D. H. Zhou, Detection isolation and diagnosability analysis of intermittent faults in stochastic systems, International Journal of Control, online, 2017.

[6]Liguo Qin, Xiao He, Rui Yan, D. H. Zhou. Active fault-tolerant control for a quadrotor with sensor faults. Journal of Intelligent & Robotic Systems, online, 2017.

[7]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.

[8]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.

[9]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.

[10]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.

[11]Xiao He, Zidong Wang, Liguo Qin, D. H. 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.

[12]Yang Liu, Zidong Wang, Xiao He, D. H. 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.

[13]Yang Liu, Zidong Wang, Xiao He, D. H. 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.

[14]Rongyi Yan, Xiao He, D. H. 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.

[15]Rongyi Yan, Xiao He, D. H. 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.

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

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

[18]Hongquan Ji, Xiao He, D. H. Zhou. On the use of reconstruction-based contribution for fault diagnosis. Journal of Process Control, vol. 40, pp. 24-34, 2016. DOI: 10.1016/j.jprocont.2016.01.011

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

[20]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.

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

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

[23]Qinyuan Liu, Zidong Wang, Xiao He, D. H. 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.

[24]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.

[25]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.

[26]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.

[27]Yuqiang Luo, Zidong Wang, Guoliang Wei, Bo Shen, Xiao He, Hongli Dong, Jun Hu, Fuzzy-Logic-based Control, Filtering and Fault Detection for Networked Systems: A Survey, Mathematical Problems in Engineering, Article ID 543725, pp. 1-10, 2015.

[28]Yang Liu, Xiao He, D. H. Zhou, Fault detection for a class of closed-loop systems with distributed measurements. Journal of Shanghai Jiao Tong University, vol. 49, no. 6, pp. 757-761, 2015. (In Chinese)

[29]Liguo Qin, Xiao He, D. H. Zhou, A fault estimation method based on robust residual generators. Journal of Shanghai Jiao Tong University, vol. 49, no. 6, pp. 768-774, 2015. (In Chinese)

[30]Rongyi Yan, Xiao He, D. H. Zhou, Robust detection of intermittent faults of linear discreet-time stochastic systems. Journal of Shanghai Jiao Tong University, vol. 49, no. 6, pp. 812-818, 2015. (In Chinese)

[31]Xiao He, Zidong Wang, Xiaofeng Wang, D. H. 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.

[32]Kaixiang Peng, Kai Zhang, Xiao He, Gang Li and Xu Yang, New kernel independent and principal components analysis-based process monitoring approach with application to hot strip mill process. IET Control Theory & Applications, vol. 8, no. 16, pp. 1723-1731, 2014.

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

[34]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.

[35]Qinyuan Liu, Zidong Wang, Xiao He, D. H. 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.

[36]Liguo Qin, Xiao He, D. H. 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.

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

[38]D. H. 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)

[39]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.

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

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

[42]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.

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

[44]D. H. 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.

[45]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.

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

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

[48]Xiao He, Zidong Wang, D. H. 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.

[49]Xiao He, Zidong Wang, D. H. 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.

[50]Guoliang Wei, Zidong Wang, Xiao He, Huisheng Shu, Filtering for networked stochastic time-delay systems with sector nonlinearity. IEEE Transactions on Circuits and Systems-II: Express Briefs, vol.56, no.1, pp.71-75, 2009.

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

[52]Xiao He, Zidong Wang, D. H. 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.

[53]Xiao He, Zidong Wang, Yindong Ji, D. H. 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. (This paper was chosen as one of the four \Hot Papers" by Wiley/IEEE worldwide advert for books and journals in signal and image processing in 2009)

[54]Xiao He, Zidong Wang, D. H. 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
[55]Liguo Qin, Xiao He, Yan Zhou, D. H. 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.

[56]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.

[57]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.

[58]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.

[59]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.

[60]Yang Liu, Xiao He, Zidong Wang, D. H. 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.

[61]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.

[62]纪洪泉, 何潇, 周东华. 基于重构贡献图故障诊断的一种失效情况. 全国技术过程故障诊断与安全性学术会议, 上海, 中国, 2015, 370-375.

[63]Qinyuan Liu, Zidong Wang, Xiao He, D. H. Zhou, Event-based filtering with individual triggering thresholds in wireless sensor network: Distributed detectability analysis, Chinese Control Conference, 2015:1734-1739

[64]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.

[65]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.

[66]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.

[67]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.

[68]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.

[69]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.

[70]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)

[71]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)

[72]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)

[73]Jun Hu, Zidong Wang, Bo Shen, Xiao He, Reliable guaranteed-cost control for a class of nonlinear stochastic systems with fading performance output. In Proceeding of the 32nd Chinese Control Conference (CCC), Xi'an, China, July 27-29, 2013, pp.6549-6554. (Accession number: 20135217123091)

[74]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. (This paper has been selected as a finalist for the Paul Frank Theory Paper Award of the 8th IFAC SAFEPROCESS 2012 Symposium)

[75]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.

[76]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.

[77]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.

[78]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.

[79]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.

[80]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. (The first author was selected as the Recipient of the IFAC Foundation Young Authors Support Program)