个人简介
刘永桂，华南理工大学自动化科学与工程学院副教授，博士（后），自动化学会委员，IEEE 会员，国家自然科学基金项目评审专家，广东省科技项目评审专家，深圳市科技项目评审专家。
主要从事无线传感器网络、网络化控制、无人自主车协同控制和服务机器人方面的理论研究和技术方面的工作。近年来在国内外重要的期刊和会议上发表论文50余篇，其中SCI检索21篇，EI检索30多篇。主要论文发表在国际著名杂志IEEE Transactions on Intelligent Transportation Systems，IEEE Transactions on Vehicular Technology, IEEE Access, IET Control Theory & Applications，Ad Hoc & Sensor wireless Networks，International Journal of Distributed Sensor Networks，Sensors等；申请了发明专利7项，其中3项已经授权；申请软件著作权4项，均已经授权。担任2012年中国控制会议协同估计和协调控制专题主席，以及多个国际国内杂志和会议的审稿工作。
主持国家自然科学基金(NSFC)面上项目、广东省自然科学基金、广东省产学研合作项目、广州市科技计划项目以及东莞市科技计划项目等多项基金项目。参与NSFC重点项目、NSFC-海外学者合作项目和留学回国人员项目等多个国家级及省部级项目。
欢迎自动化、计算机和信息处理及网络方向的学生加入我们研究团队，特别欢迎具有智能车比赛、飞思卡尔比赛、电子设计比赛、数学建模比赛获奖者，优先考虑。也欢迎相关企业交流，进行相关科研项目合作。
Yonggui Liu, Associate professor, Philosophic doctor (post-doctoral), PH. D tutor, member of automation society, IEEE member, national natural science foundation project evaluation expert, guangdong province technology project evaluation expert, shenzhen science and technology project evaluation expert
Personal achievements and experiences
He is mainly engaged in the theoretical research and technical development of wireless sensor networks, networked control systems and autonomous vehicle cooperative control. In recent years, more than 50 papers have been published in important domestic and foreign journals and conferences, among which 21 were retrieved by SCI and more than 30 by EI. The main papers were published in the internationally renowned journal, such as IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Vehicular Technology, IEEE Access, IET Control Theory & Applications, Ad Hoc & Sensor wireless Networks, International Journal of Distributed Sensor Networks, Sensors. Seven invention patents have been applied, three of which have been authorized. Four software patents have been applied, and all of them have been authorized. Served as chairman of the 2012 China control conference collaborative estimation and coordination control topics, as well as the review work of several international and domestic magazines and conferences.
He has hosted a number of fund projects in the national natural science foundation of China (NSFC), guangdong natural science foundation, guangdong industry-university-research cooperation project, guangzhou science and technology plan project and dongguan science and technology plan project. Participated in NSFC key projects, NSFC-Overseas scholar cooperation projects and overseas returnees and other national and provincial projects.
The research direction
(1)Wireless sensor networks and application;
(2)Embedded system development;
(3)Networked control systems;
(4)Coordinated control of unmanned intelligent vehicles;
(5) Service robot and cooperative control.
Detailed research orientation
And applications of wireless sensor networks (WSNs) :
Study the WSNs protocol, target tracking and positioning technology, and develop WSNs applications in wisdom cities, wisdom tunnels, intelligent transportation systems and other fields. Implement to monitor subway, Bridges, tunnels, slope high-speed rail, highways and other large infrastructure management structure, provides high accuracy of wireless sensor network monitoring theory and technology; Provide solutions and information management systems for all kinds of big data research data analysis based on cloud computing, storage, processing, distribution and synchronization service.
Embedded system development:
Study the whole hardware systems and software system. Hardware part: Embedded sensor node design and manufacture, intelligent wireless gateway design and manufacture, embedded handset hardware development.
Software part: With large bridge as an example, for the urban bridge management software one can detailedly record and manage the basic information of the bridge, archives, can be the bridge daily checking and regular inspection, maintenance and custody of the key work record, management and analysis, and provide needed data records for bridge custody, mission planning, assessment analysis, statistics and other functions.The specific software includes the development of the underlying driver of the sensor node, the design of embedded system clipping and application program, the development of network protocol, the development of intelligent gateway system software, the development of the application software on the PC and mobile APP, and the development of large-scale distributed database technology, and embedded handset hardware development.
Networked monitoring and control:
Research on the theory and technology of wireless network-based collaborative control system is carried out, and applied to intelligent control of mobile vehicle networking and unmanned vehicle, and multi-robot cooperative control. The technologies involved include: distributed information processing, high-precision 3D map construction, GPS based positioning, unmanned vehicle (robot) positioning, path planning, path following and control, automatic obstacle avoidance, road recognition and traffic lights, traffic signs, and pedestrian recognition theories and technologies.These theories and technologies can be specifically applied to the delivery of goods by unmanned vehicles, the collaborative distribution of goods by unmanned cleaning vehicles on the road, multi-robot warehouses and the unmanned water racing vehicles on the road, which have huge market demand and practical significance.
Service robots:
Develop natural language recognition and intelligent interactive technology, face recognition and human-computer interaction, intelligent voice dialogue chip development and application of service robot obstacle avoidance and navigation technology, service robot design and control technology, the bottom indoor map construction technology, measurement distance technology based on ultrasonic, infrared, laser sensor range, and information fusion technology, robot remote communication and control technology and so on.
We welcome students from the fields of automation, computer and information processing and network to join our research team. We particularly welcome winners of smart car RACES, freescale competitions, electronic design competitions, and mathematical modeling competitions. Relevant enterprises are also welcome to communicate and cooperate on relevant scientific research projects.
工作经历
2015/09 –今，华南理工大学自动化学院，副教授
2014/09 – 2015/08，华南理工大学自动化学院，讲师
2013/04 –2014/08，香港中文大学/深圳研究院，博士后
2011/09 – 2012/08，华南理工大学自动化学院，讲师
教育经历
2008/09 – 2011/06，华南理工大学，自动化学院，博士
2005/09 – 2008/06，华南理工大学，电子与信息学院，硕士
1997/09 – 2001/06，湖南科技大学，电子信息工程学院，学士
获奖、荣誉称号
☆ 获2016年度本科生科技创新优秀指导教师奖
☆ 担任会议CCC2012 “无线传感器/执行器网络中的协同估计和协调控制”专题的协同主席
☆ 被评为2011年华南理工大学“优秀博士毕业生”
☆ 2010年华南理工大学第二届研究生“十大学术之星”评选活动中荣获“最佳潜质奖”
☆ 获得华南理工大学优秀博士学位论文创新基金资助（2010,3-2011,3）
科研项目
主持/参与项目
国家级：
1. 国家自然科学基金面上项目，交通传感网中抗网络攻击的互联车队系统安全状态估计和实时弹性控制（61973128）. 2020.01-2033.12. 主持
2. 国家自然科学基金面上项目，基于交通传感网的自主车队协同安全控，61573153，2016.01-2019.12，在研，主持
3. 国家自然科学基金-广东省联合基金重点项目，U1401253，网络化控制系统安全理论与关键技术，2015.01-2018.12，结题，参与
省部级：
1. 广东省自然科学基金项目，基于交通传感网的自主车队安全控制和优化，2016A030313510，2016.06-2019.06，在研，主持
2. 广东省科技厅产学研重点项目，农业物联网关键技术研究及应用示范，2011B090400507， 2011.06-2013.06，结题，主持
3. 教育部高等学校博士学科点专项科研基金，无线传感器/执行器网络中分布式数据协同调度和优化，20120172120034，2013.01-2015.12，结题，主持
4. 中国博士后基金项目，时空约束条件下的多自主车辆协同控制，2014M552198，2014.06-2015.6，结题，主持
5. 广州市科技局科学研究专项，自主车队协同安全控制理论和技术研究，201510010132， 2015.01-2016.12，结题，主持
校级：
1. 教育部中央高校基本科研业务费项目，智能桥梁健康监测传感云平台，2018.9.1-2020.8.31，在研，主持
2.教育部中央高校基本科研业务费项目，基于车载网络的多车辆协同安全控制，2014ZZ0044，2014.01-2015.12，结题，主持
3. 教育部中央高校基本科研业务费项目，协同估计与协调控制理论在无线传感器/执行器网络中的应用，2012ZM0101，2012.01-2013.12，结题，主持
其它项目：
1.东莞市科技计划项目，车载自组织网中车辆安全协调控制关键技术研究，2012108102005， 2012.10-2014.09，结题，主持
科研创新
申请的发明专利
36)刘永桂, 潘创, 高焕丽, 李伯忍. 基于观测器的车队协同自主控制方法, 申请公布号：CN104391445A, 专利号：ZL201410383803, 申请日期：2014.8.6，授权：2017.10.20.
37)刘永桂，潘创, 胥布工，高焕丽, 李伯忍. 基于无线传感器执行器网的大型智能灯光节能控制方法, 申请号：201310514091.6, 申请公布号：CN103547033A，专利号：ZL201310514091.6, 已经授权, 2016. 01。
38)刘永桂，胥布工，冯林方，刘学良. 一种基于无线传感器网络的动态群组调度方法，2012. 5，中国，申请号：2009100410344, 授权公告号：CN101610567B，已经授权。
39)胥布工，危阜胜，曾明，黎善斌，刘贵云，刘永桂. 一种基于分布式处理的无线传感器网络目标跟踪方法，2012. 9，中国，申请号：2009100378620, 授权公告号：CN101505532B，已经授权。
40)刘永桂，胥布工，高焕丽，潘创. 基于无线传感器网络的协同信息估计方法, 2012.12，中国，申请号：201210560371，申请公布号：CN103067940A.
41)刘永桂，胥布工，高焕丽，吴益彬. 一种基于无线传感器网络能量有效的协同调度方法，2012.12，中国，申请号：2012105593432, 申请公布号：CN103052128A.
42)刘永桂, 潘创, 黄永成. 一种基于道路信息的车辆控制方法及装置, 申请号：2016100740274,申请日期：2016.02.02.
43) 刘永桂，林志伟，一种基于多点传感器数据和BiLSTM的结构损伤预警方法，申请号：201910756724.1，申请日期：2019.8.16.
软件著作权
44) 刘永桂，林志伟，翟春杰，智能车队优化控制仿真软件v1.0, 授权日期：2019.8.23； 证书编号：软著登字第4299831号；登记号：2019SR0879074.
45)刘永桂，潘 创. 多车辆自主协同控制模拟仿真软件v1.0, 登记号：软著登字第0829170号; 登记号：2014SR159933，已授权，2014.10.
46)胥布工，冯林方, 刘永桂. 基于无线传感器网络目标跟踪的关键算法仿真平台v1.0, 2010. 10，已授权，证书编号：软著登字第0241534号；登记号：2010SR053261.
47)胥布工，刘永桂，冯林方. 基于无线传感器网络的目标跟踪模拟仿真软件v1.0，2010.4，已授权，证书编号：软著登字第0206739号；登记号：2010SR018466.
教学活动
开展了华南理工大学本科特色课程（单片机原理及应用）教学改革，并申请到了教学改革项目经费，对单片机课程课堂教学方法进行了改革，注重单片机项目开发和软件编程思维训练。开发了网上交互平台，课后作业和学生反馈采用网上实时交互、留言和邮件等多种交流方式。统一网上发布通知和网上布置作业，网上批改作业等。使交流更加快捷，学生提交作业更加方便、有效。
单片机原理及应用教学改革交流平台 http://www.scholat.com/course/mcu8
指导学生情况
指导研究生：
2018年指导研究生在国际著名期刊发表多篇高水平期刊论文，其中2篇1区SCI论文；
指导研究生研发了多款传感器采集仪和智能网关；
指导研究生开发了互联智能健康云平台。
指导本科生：
2018年指导本科生吴桦键毕业设计，被评为校级优秀论文；
2018年指导本科生任闯毕业设计，被评为院级优秀论文；
2018年指导本科生洪锦烽毕业设计，被评为院级优秀论文。
我的团队
目前所在研究团队有本科生9名参与项目技术开发，参与理论和技术开发的研究生15名，其中硕士生10名，留学生3名，博士生2名。研究团队共分5个组：智能车队组，无线传感器网络及应用组，云平台开发组和人体参数监测组。
1）智能车队组：
主要从事互联车辆控制系统的理论研究和应用开发，包括控制系统建模，控制性能分析，算法设计等。考虑时延、扰动、丢包和网络攻击等外在因素，设计控制算法，分析系统性能。这个方向近期在国际顶级杂志上发表了多篇期刊论文。
2）无线传感器网络及应用组：
研究无线传感器智能采集仪，包括已经开发的裂缝传感器采集仪，加速度传感器采集仪、倾角采集仪、温湿度采集仪；开发了全网通4G网关和正在开发的LoRo网关。正在开发压力采集仪和振弦采集仪，拟开发更多种类的传感器采集仪和多协议兼容的智能网关。
3）云平台开发组：
开发了互联智能健康云平台，包括分布式数据库开发、服务器集群开发和配置、服务器端应用程序开发和微信小程序开发，以及基于大数据分析和评估算法研究。
云平台：https://cloudbridge.scutauto.tk/index.php?r=subscriber%2Flogin
4）服务机器人组：
基于语音识别芯片，开发了智能交互模块，实现了人机简单的对话交互；实现了服务机器人避障和导航功能，服务机器人外观设计和底层远程IP遥控和目视距离的蓝牙控制；实现了基于超声波测距和避障功能；正在构建室内地图，为机器人的自主导航提供高精度的室内地图做准备；正在开发自然语言识别和深层次的交互技术。
5）人体参数监测组：
开发了能监测血压、血氧、心率的传感器模块及基于蓝牙通讯模块和APP小程序，正在开发基于ZigBee的通讯模块和通信协议；正在开发血压、血氧、心率检测和识别算法。
期待有兴趣的、刻苦勤奋的、有抱负的研究生加入我们的研究组
近期论文
查看导师最新文章
（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）
1)B. Xiao, Y. Liu, B. Xiao, Accurate State-of-Charge Estimation Approach for Lithium-Ion Batteries by Gated Recurrent Unit with Ensemble Optimizer, IEEE Access, pp.54192-54202, vol. 7, issue 1, July 2019.
2)C. Zhai, Y. Liu（刘永桂*）, F. Luo. A Switched Control Strategy of Heterogeneous Vehicle Platoon for Multiple Objectives With State Constraints. IEEE transactions on Intelligent Transportation Systems, pp. 1883-1896, vol. 20, issue 5, DOI：10.1109/TITS.2018.2841980, May, 2019. ( SCI：长文，Top期刊)
3)Q. Li, S. Li, B. Xu*, and Y. Liu（刘永桂）, Optimal Node Attack on Causality Analysis in Cyber-Physical Systems: Data-Driven Approach, IEEE Access, vol. 7, no. 12, pp. 16066-16077, 2019 ( SCI: 000458872200001).
4)D. Tong, Y. Ding, Y. Liu（刘永桂*）, and Y. Wang, A MIMO-NOMA Framework with Complex-Valued Power Coefficients, IEEE Transactions on Vehicular Technology, vol. 68, no. 3, pp. 2244-2259, DOI: 10.1109/TVT.2018.2890546, March 2019.( SCI：000461843300020，长文, IF: 4.432).
5)C. Zhai, F. Luo, Y. Liu（刘永桂*）, and Z. Chen, Ecological Cooperative Look-Ahead Control for Automated Vehicles Travelling on Freeways with Varying Slopes, IEEE Transactions on Vehicular Technology, vol. 68, no. 2, pp. 1208-1221, Feb. 2019 ( SCI：000458803200014,长文).
6)C. Zhai, F. Luo, and Y. Liu（刘永桂*）, Cooperative Look-ahead Control of Vehicle Platoon Travelling on a Road with Varying Slopes, IET Intelligent Transport Systems, vol. 13, no. 2, pp. 376-384, Feb. 2019. ( SCI:000457717800016，IF=1.387).
7)C. Zhai, F. Luo, Y. Liu（刘永桂*）, and J. Xu. Adaptive control of isolated intersections based on sequential signal-stage optimisation, pp. 1-9, Proceedings of the Institution of Civil Engineers - Transport, https://doi.org/10.1680/jtran.17.00094. June, 2018, 在线发表. ( SCI)
8)Li Q, B. Xu*, Li S, and Y. Liu（刘永桂）, Data-driven Attacks and Data Recovery with Noise on State Estimation of Smart Grid, Journal of the Franklin Institute, Online Nov. 2018. 在线发表, （SCI， IF=3.576, Top期刊）https://doi.org/10.1016/j.jfranklin.2018.10.022
9)C. Zhai, F. Luo, and Y. Liu（刘永桂*）. Cooperative Look-Ahead Control of Vehicle Platoon for Maximizing Fuel Efficiency Under System Constraints. IEEE Access, vol. 6, no. 6, pp. 37700-37714, 2018. (SCI: 000439698700099, IF=3.557).
10)Li Q, Xu B, Li S, Y. Liu, and Cui D. Reconstruction of measurements in state estimation strategy against deception attacks for cyber physical systems[J]. Control Theory & Technology, 1, pp. 1-13, Vol 16, No 1, Jan. 2018. （EI: 20181004876921）
11)Y. Liu（刘永桂*）, C. Pan, H. Gao and G. Guo, Cooperative Spacing Control for Interconnected Vehicle Systems with Input Delays, IEEE Transactions on Vehicular Technology, Vol. 66, No 12, pp.10692-10704, Dec. 2017. ( SCI：000418399000007，长文, IF=4.432)
12)Y. Liu（刘永桂*）, B. Xu, Y. Ding， Convergence Analysis of Cooperative Braking Control for Interconnected Vehicle Systems, IEEE Transactions on Intelligent Transportation Systems, vol. 18, no. 7, pp. 1894-1906, July 2017 (SCI：000404370500020，EI：20173504101937，长文， Top期刊， IF=4.015)
13)X. Liu, H. Liu, S. Wang, Z. Zhang and Y. Liu（刘永桂*）. Improvement of coordination performance of fractional-order systems based on weighted state and relative state information, vol. 9(7), pp. 1-9, Advances in Mechanical Engineering, July 2017. （SCI：000405518400001，IF=0.827）
14)Y. Liu（刘永桂*）, B. Xu, Improved Protocols and Stability Analysis for Multi-vehicle Cooperative Autonomous Systems, IEEE Transactions on Intelligent Transportation Systems, vol. 16 , no. 5, pp: 2700-2710, Oct. 2015. (SCI：000362084600033, 长文, Top期刊)
15)G. Liu*, Y. Liu（刘永桂）, J. Yao, H. B. Chen and D. Tang, Repeated Game for Distributed Estimation in Autonomous Clustered Wireless Sensor Networks, International Journal of Distributed Sensor Networks, Volume 2015 (2015), Article ID 806456, 8 pages,
http://dx.doi.org/10.1155/2015/806456, Oct., 2015. (SCI: 000364076700001)
16)G. Liu*, J. Yao, Y. Liu（刘永桂）, H. Chen, D. Tang, Channel-Aware Adaptive Quantization Method for Source Localization in Wireless Sensor Networks, International Journal of Distributed Sensor Networks, vol. 2015, Article ID 214081, 13 pages, Sep. 2015. (SCI: 000363157200001) doi:10.1155/2015/214081. (IF:0.665)
17)Y. Liu（刘永桂）, H. Gao*, B. Xu, G. Liu, and H. Cheng, Autonomous Coordinated Control of A Platoon of Vehicles with Multiple Disturbances, IET Control Theory & Applications, Vol. 8, Issue 18, pp. 2325 – 2335, 2014. （SCI：000346082700022，EI: 20145100328266）IF：3.296.
18)H. Liu*, G. Liu, Y. Liu（刘永桂）, L. Mo, H. Chen. Adaptive Quantization for Distributed Estimation in Energy-Harvesting Wireless Sensor Networks: A Game-Theoretic Approach, International Journal of Distributed Sensor Networks. Volume 2014 (2014), Article ID 217918, 9 pages, 2014. (SCI, IF=0.727, SCI: 000340179200001)
19)R. Wen, B. Xu*, Y. Liu（刘永桂）, Distributed Estimation Fusion and Control with Packet Losses for Industrial Wireless Sensor and Actuator Networks, International Journal of Distributed Sensor Networks, Volume 2014, Article ID 325290, 11 pages, 2014. (SCI, IF=0.727, SCI: 000333266400001; EI: 20141517562812)
20)Y. Liu（刘永桂*）, B. Xu. “Energy-Efficient Distributed Multi-Sensor Scheduling Based on Energy Balance in Wireless Sensor Networks”, Ad Hoc & Sensor wireless Networks. pp. 307-328, vol 20, Issue 3-4, 2013. (SCI, IF=0.302, SCI:000326362000007)
21)Y. Liu（刘永桂）, B. Xu, and B. Shi*. Kalman filtering for stochastic systems with consecutive packet losses and measurement time delays， Journal of Control Theory and Applications, 30(7), pp. 898-908, 2013. (EI: 20134216860733)
22)Y. Liu（刘永桂*）, B. Xu. Filter designing with finite packet losses and its application for stochastic systems, IET Control Theory & Applications, 6(5), pp. 775-784，2011.（SCI：000289971500003, EI: 20111913962551）
23)Y. Liu（刘永桂*）, B. Xu, L. Feng. Energy-balanced multiple-sensor collaborative scheduling for maneuvering target tracking in wireless sensor networks, Journal of Control Theory & Applications, 9(1), pp.58-65, 2011 (EI: 20111113747005)
24)Y. Liu（刘永桂*）, B. Xu, L. Feng. Optimal Filters with Multiple Packet Losses and its Application in Wireless Sensor Networks, Sensors, 4(10), pp. 3330-3350, 2010 (SCI: 000277159700045) IF= 2.048
2、发表的会议论文
1)Z. Lin, Y. Liu, L. Zhou, “Damage Detection in a Benchmark Structure Using Long Short-term Memory Networks”，2017 Chinese Automation Congress (CAC 2019), Hangzhou, China, Nov. 2019.
2)Z. Li, Y. Liu*, Consensus Analysis of Vehicle Platoon with Hidden Layer Against Stochastic Noise, the 38th Chinese Control Conference (CCC 2019), pp. 6739-6744, July 27-30, 2019, Guangzhou.
3)Y. Liu, H. Gao, C. Zhai and D. Chen, "Consensus of Autonomous Vehicle Platoon with Time Delays, " 2017 Chinese Automation Congress (CAC 2017), pp. 4598-4603, Ji Nan, China, Oct. 20-22, 2017.
4)Y. Liu, C. Zhai, H. Gao "Autonomous Multi-vehicle Consensus for High-order Systems, " the 36th Chinese Control Conference (CCC 2017), pp. 9548-9553, Dalian, China, July 26-28, 2017. （EI：20174404319563）
5)S. Liu, B. Xu*, S. Li, Y. Liu（刘永桂）, “Resilient Control Strategy of Cyber-Physical System under DoS Attacks,” pp. 7760-7765, the 36th Chinese Control Conference (CCC 2017), pp. 1-6, Dalian, China, July 26-28, 2017. （EI：20174404320948）
6)Q. Li, B. Xu*, S. Li, Y. Liu（刘永桂）, D. Cui, “Reconstruction of Measurements in State Estimation Strategy Against Cyber Attacks for Cyber Physical Systems, ” the 36th Chinese Control Conference (CCC 2017), pp. 7571-7576, Dalian, China, July 26-28, 2017. （EI：20174404320766）
7)Y. Liu（刘永桂*）, B. Xu. Cooperative Braking Control for A Platoon of Vehicles under Constraint with Target Stopping Positions, the 35th Chinese Control Conference, pp.9282-9287, Chengdu, China, July 27-29, 2016. ( EI: 20163802827865 )
8)Z. XU, J. Jiang, Y. Liu（刘永桂*）. Experimental Research of Platoon Coordination Control Based on TORCS Platform, the 35th Chinese Control Conference, pp.7404-7409, Chengdu, China, July 27-29, 2016. (Invited paper) (EI: 20163802828512)
9)Y. Liu（刘永桂*）, B. Xu. Cooperative Braking Control Based on Autonomous Vehicle Platoon, The 28th Chinese Control and Decision Conference (2016 CCDC), pp.9282-9287, Yinchuan, China, May 28–30, 2016. (Invited paper) (EI: 20163602765628)
10)Y. Liu（刘永桂*）, C. Pan. Cooperative Spacing Control for Autonomous Vehicle Platoon with Input Delays, The 28th Chinese Control and Decision Conference (2016 CCDC) , pp 6457-6462, Yinchuan, China, May 28–30, 2016. (EI: 20163602765132)
11)G. Liu , Y. G. Liu（刘永桂）, D. Tang. Repeated Game for Distributed Estimation in Autonomous Wireless Sensor Networks, the 34th Chinese Control Conference, pp. 4909-4912, Hangzhou, China, July 2015. (EI: 20154601537798)
12)Y. Liu（刘永桂*）, H. Gao, B. Xu, G. Liu. Autonomous Platoon Control with Multiple Disturbances, the 11th World Congress on Intelligent Control and Automation, Shenyang, China, June 29 - July 4, pp.5363-5368, 2014. (EI：20152600977892)
13)H. Gao, Y. Liu（刘永桂*）. Event-driven Real-time Actuator Scheduling Strategy over Wireless Sensor and Actuator Networks[C], the 33rd Chinese Control Conference, pp. 439-444, Nanjing, China, July, 2014. (Invited paper, EI：20144300119693)
14)G. Liu, X. Zhang, Y. Liu（刘永桂*）. Distributed Estimation based on Game Theory in Energy Harvesting Wireless Sensor Networks[C], the 33rd Chinese Control Conference, pp. 401-404, Nanjing, China, July, 2014. (EI：20144300118970)
15)C. Pan, G. Liu（刘永桂*）, H. Gao. Autonomous Platoon Controller Design: A Frequency-Domain Approach, the 9th International Conference on Information, Communications and Signal Processing[C], Dec. 2013, Tai nan, Tai Wan, pp. 1-5. (EI：20141817670424)
16)Y. Liu（刘永桂*）W. Wong, B. Xu and C. Pan. Performance Analysis for Cooperative Autonomous Driving in Vehicular Ad-hoc Networks，the 32st Chinese Control Conference, Xi’an, China, July, 2013, pp: 6741 - 6746. (EI: 20135217123126)
17)Y. Liu（刘永桂*）, B. Xu. Distributed Kalman Filtering for Collaborative Estimation in Wireless Sensor Networks, the 31st Chinese Control Conference, July, 2012, Hefei, China, pp. 6540 - 6545 (Invited paper, EI: 20130716024588 )
18)Y. Liu（刘永桂*）, B. Xu, L. Feng. Dynamic-Group Scheduling Scheme for Maneuvering Target Tracking in Wireless Sensor Networks, The Eighth International Conference on Control and Automation, June, 2010, Xiamen, China, pp. 1300 – 1304. (EI: 20104213298458)
19)Y. Liu（刘永桂*）, B. Xu. Minimum Variance Filter with Packet Dropouts in Wireless Sensor Networks, The Seventh International Conference on Information, Communications and Signal Processing, December, 2009. pp.1 – 5, Macau. (EI: 20101212790884)
20)Y. Liu（刘永桂*）, B. Xu, L.F Feng. Distributed IMM Filter based Dynamic-Group Scheduling Scheme for Maneuvering Target Tracking in Wireless Sensor Network, The Second International Congress on Image and Signal Processing, October 2009, pp.1-6, Tianjin, China. (EI：20100212630943)
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