Speakers
Keynote Speakers for Main Session
Prof. Li Chai
The National Science Fund for Distinguished Young Scholars
Zhejiang University, China
Profile: Li Chai received the BS degree in applied mathematics and the MS degree in control science and engineering from Zhejiang University, China, in 1994 and 1997, respectively, and the PhD degree in electrical engineering from the Hong Kong University of Science and Technology, Hong Kong, in 2002. From August 2002 to December 2007, he was at Hangzhou Dianzi University, China. He worked as a professor at Wuhan University of Science and Technology, China from 2008 to 2022. In 2022, he joined Zhejiang University, China, where he is currently a professor at the College of Control Science and Engineering. He has been a postdoctoral researcher or visiting scholar at Monash University, Australia, Newcastle University, Australia and Harvard University, USA.
His research interests include distributed optimization, filter banks, graph signal processing, and networked control systems. Professor Chai is the recipient of the Distinguished Young Scholar of the National Science Foundation of China. He has published over 100 fully refereed papers in prestigious journals and leading conferences. He serves as the associate editor of IEEE Transactions on Circuit and Systems II: Express Briefs, Control and Decision and Journal of Image and Graphs.
嘉宾简介：柴利，教授、博士生导师、国家杰出青年科学基金获得者、国务院特殊津贴专家。现为浙江大学控制科学与工程学院求是特聘教授。2008-2022年于武汉科技大学信息科学与工程学院工作，为首批“全国高校黄大年式教师团队”负责人，湖北省楚天学者特聘教授。曾获湖北省先进科技工作者、湖北省高等学校优秀共产党员等荣誉奖励。曾入选首批湖北省高端人才引领培养计划、湖北省新世纪高层次人才计划、教育部新世纪优秀人才支持计划等。柴利教授的主要研究兴趣为智能自主系统、图信号处理与学习、分布式优化、网络化控制系统等。在IEEE TSP、TAC、TPAMI等国际知名期刊和会议发表论文100余篇，主持完成5项国家自然科学基金项目。现为中国自动化学会CPS控制与决策专委会副主任委员、过程控制专委会委员等。任IEEE TCS-II、《控制与决策》、《控制工程》等期刊编委。
Speech Title: 多智能体系统平均一致控制的动量加速算法研究
Abstract:我们知道，利用过去1个时刻（k-1）状态信息构建的动量项可以设计高效的加速一阶优化算法，如各种Nesterov加速法和heavy-ball算法等。但如下几个基础问题并未得到解决：利用更多过去时刻（如k-2，k-3,…）的状态信息是否可以设计更快收敛率的一阶优化算法？最快算法的收敛率是多少？对应的动量项参数如何设计？对于一阶优化算法的特例—多智能体系统平均一致性问题，我们将在报告中介绍最近的研究结果：（1）对任意给定网络，仅k-1时刻状态便可得到最快收敛率的加速算法，k-2时刻信息不能加速算法收敛，但利用k-3,k-5等时刻信息可能加速算法；（2）对给定的不确定网络集合，worst-case性能意义下，仅用k-1时刻信息便可得到性能最优的加速算法，k-2及之前所有时刻信息不能加快算法收敛。我们将给出严格的证明，给出最优收敛率及对应的动量项参数的解析计算公式。推导过程中充分利用了Routh稳定性判据和最大增益裕度计算。
Prof. Guanghong Yang
IEEE Fellow
Northeastern University, China
Profile: Guang-Hong Yang (Fellow, IEEE) received the B.S. and M.S. degrees in mathematics in 1983 and 1986, respectively, and the Ph.D. degree in control theory and control engineering in 1994, all from Northeastern University, Shenyang, China.,He is currently a Chair Professor and the Dean with the College of Information Science and Engineering, Northeastern University. He has authored or coauthored three monographs and more than 400 papers in the international journals. He has been a highly cited researcher (since 2014) selected by Elsevier and a highly cited Researcher (since 2019) selected by Clarivate. His current research interests include fault-tolerant control, fault detection and isolation, cyber-physical systems, and unmanned systems.,Dr. Yang has been a General Chair of the Annual Chinese Control and Decision Conference since 2011. He is a Deputy Editor-in-Chief for Journal of Control and Decision, an Editor for International Journal of Control, Automation and Systems, and the Director of the Technical Committee on Control and Decision for Cyber-Physical Systems of the Chinese Association of Automation.
嘉宾简介：杨光红，东北大学特聘教授、国家自然科学基金创新群体负责人。IEEE Fellow、中国自动化学会会士。现任《控制与决策》主编以及Journal of Control and Decision期刊主编、中国控制与决策会议总主席(CCDC，2012至今)、中国自动化学会信息物理系统控制与决策专业委员会主任、5个国际学术期刊编委、IEEE控制系统协会哈尔滨分会主席。主要研究方向包括：故障诊断与容错控制、系统安全性、信息物理系统分析与控制等。发表学术专著3部，SCI期刊论文600余篇， Google引用3万余次。主持国家自然科学基金创新群体项目、重点国际合作项目、联合基金重点项目以及国家重点研发计划“战略性国际创新合作”重点专项等国家级项目。入选爱思唯尔中国高被引学者与全球高被引科学家。
Speech Title: 非线性多智能体系统编队的自主避碰指令调节
Abstract: 本报告针对多智能体系统协同编队中的自主避碰问题展开研究。其目标是保证多智能体系统在协同完成编队跟踪任务的同时避免发生碰撞。由于智能体避碰与系统控制性能之间的紧密关系，本报告从控制系统上层的角度，设计自主避碰指令调节方法。首先，考虑到系统闭环控制性能的约束，提出一种基于事件触发的智能化指令调节方法。该方法能够根据当前协同跟踪误差动态决定智能体是否继续执行编队跟踪任务或者暂时“忘记跟踪任务而“专心”避碰。同时，针对多障碍环境对智能体编队的约束，构造一类动态障碍函数驱动的非线性指令调节方法。该方法能够保证智能体接近障碍物时自适应地重新配置编队形状以避免碰撞，并在远离障碍物后快速恢复所需的编队形状。通过 Lyapunov稳定性理论与障碍函数的有界性分析，可以证明整个多智能体系统能够实现全局收敛和安全避碰避障。
Prof. Zhaojing Wu
IEEE Member
Yantai University, China
Profile: Zhaojing Wu (Member, IEEE) was born in Qufu, Shandong, China, in 1970. He received the M.S. degree from Qufu Normal University, in 2003, and the Ph.D. degree from Northeastern University, China, in 2005. He is currently a Professor with the School of Mathematics and Information Science, Yantai University, China. He was the Outstanding Reviewer of the IEEE Transactions on Automatic Control, in 2012. His research interests include nonlinear control, adaptive control, stochastic stability analysis, stochastic dissipative systems, stochastic Hamiltonian systems, stochastic Lagrangian systems, and stochastic switched systems.
嘉宾简介：吴昭景, 烟台大学, 数学与信息科学学院教授。 于东北大学, 控制理论与控制工程专业, 获得博士学位。 研究兴趣包括随机非线性系统的建模, 稳定与控制。 在自动化学科国际顶尖期刊《IEEE Transactions on Automatic Control》和《Automatica》发表论文22 篇(长文4篇)。泰山学者特聘专家, 山东省优秀教师和山东省先进工作者
Speech Title: Trajectory tracking of UAV based on Rodrigues vector
Abstract: Trajectory tracking of UAV based on Rodrigues vectorThe problem of trajectory tracking of unmanned aerial vehicles is researched by the aid of Rodrigues vector. The challenge comes from the topological obstacle that no continuous feedback can globally stabilize system with rotational degrees of freedom. An attitude planner is constructed based on the operation of finding the square root of quaternions, along with transformation from the under-actuated translational tracking to robust full-actuated control. Based on the translational error subsystem, smooth thrust is designed, and based on the rotational error subsystem described by Rodrigues vector, smooth torque is constructed. The hieratical control synthesized ensures the strict passivity of the closed-loop system, and achieves almost global asymptotic tracking in the unbiased case. It is supplemented by the discussion on problems of implementation of signals, extracting attitude from trajectory and input saturations. The reasonability and effectiveness of the schemes are demonstrated by the simulations of quadrotor in different scenarios.
Prof. Huaicheng Yan
IEEE Member
East China University Of Science And Technology, China
Profile:Huaicheng Yan (Member, IEEE) received the B.Sc. degree in automatic control from Wuhan University of Technology in 2001, and the Ph.D. degree in control theory and control engineering from Huazhong University of Science and Technology, in 2007. Currently, he is a Professor with the School of Information Science and Engineering, East China University of Science and Technology. His research interests include networked control systems, multi-agent systems, and robotics. He is an Associate Editor of IEEE Transactions on Neural Networks and Learning Systems, International Journal of Robotics and Automation, and IEEE Open Journal of Circuits and Systems.
嘉宾简介：严怀成，华东理工大学教授、博导。入选国家高层次人才计划、科技部中青年科技创新领军人才、上海领军人才、上海优秀学术带头人、中国自动化学会青年科学家、科睿唯安“全球高被引科学家”、全球前2%顶尖科学家终身榜单等。主要从事网络化控制、多智能体系统、无人机、机器人等研究和应用工作。主持国家自然科学基金重点项目、国家重点研发计划课题、中央军委装发共用技术和领域基金等国家省部级课题60余项。发表SCI论文300余篇(其中Automatica和IEEE 汇刊论文200余篇)，30余篇入选ESI高被引论文，10余篇入选ESI热点论文。2篇入选“中国百篇最具影响国际学术论文”，获国内外学术会议最佳论文奖5次。授权和申请国家发明专利40余项。现担任IEEE Trans. Neural Networks and Learning Systems、IEEE Trans. Fuzzy Systems等多个权威期刊副编辑。获教育部自然科学二等奖(排名1)、上海自然科学二等奖(排名1)等省部级奖励11项。现为中国自动化学会控制理论专委会委员、IEEE/中国自动化学会高级会员、中国自动化学会青年工作委员会常务委员、中国人工智能学会智能机器人专委会委员、中国自动化学会集成自动化专委会委员和上海自动化学会理事等。
Speech Title: 信息受限下多智能体系统定位与编队控制
Abstract: 近年来，随着通信、感知和人工智能技术的快速发展，由多个具备感知和通信能力的个体所组成的多智能体系统的定位与编队控制在多无人机/车协作、传感器网络、智能电网等领域广泛应用。感知类型和通信质量的差异需要不同的定位与编队控制方案，任务场景和应用需求的变化则对应不同的队形要求。研究面向不同应用场景和任务需求下多智能体系统的分布式定位与编队控制策略具有重要的理论意义和应用价值。本报告将针对多智能体系统定位估计与编队控制中的任意分布、随机干扰、全局信息获取困难、收敛时间不可控等问题，设计一系列分布式定位估计和编队控制策略，为多智能体系统定位与编队一体化研究提供思路和方法。
Prof. Haitao Li
Shandong Normal University, China
Profile:Li Haitao, male, CPC member, was born in 1985. He currently holds the position of professor, doctoral supervisor, and deputy director of the Science and Technology Department at the School of Mathematics and Statistics, Shandong Normal University. He obtained his Ph.D. degree from Shandong University in 2014 and conducted postdoctoral research at Nanyang Technological University, Singapore, from January 2014 to January 2015.He has been recognized as a Jieqing Youth of Shandong Province, a Taishan Scholars Young Expert, and a recipient of the National Young Talents Program. His main research interests encompass analysis and control of logic dynamic systems and game control theory. Dr. Li has contributed extensively in these fields, having presided over more than 10 national and provincial teaching and research projects. He has published over 50 papers as the first/corresponding author in prestigious journals such as Automatica, IEEE Transactions, SIAM Journal on Control and Optimization, and has published an academic monograph with CRC Press.He has been awarded the second prize of the Natural Science Award of Shandong Province twice as the first complete author. In addition to this accolade, he has received several other honors, including the Guan Zhaozhi Prize, Nomination Prize for Excellent Doctoral Dissertation by the Chinese Society of Automation, First Prize of the Science and Technology Award from Shandong Higher Education Institutes, Second Prize of the Teaching Achievement Award of Shandong Province, Third Prize of the Ministry of Education's Huoyingdong Young Teachers' Award, recognition as an Outstanding Graduate Student Supervisor of Shandong Province, and the Outstanding Achievement Prize of Matrix Semi-Tensor Product. He is also designated as a Highly Cited Scholar by Elsevier China.Currently, he serves as the chairman of the TCCT Symposium on Control of Logic Systems and is a member of both the Science China Information Sciences Young Editorial Board and the Mathematical Modelling and Control Theme Editorial Board. Under his guidance, his undergraduate students have won eight outstanding bachelor's theses awards at Shandong Normal University, while his graduate students have achieved notable honors such as China Star of College Students' Self-improvement, Outstanding Students of Shandong Higher Education Institutions, National Scholarships, Presidential Scholarships, and the Academic Top Ten of the university. Furthermore, his students have collectively won one first prize and two second prizes for outstanding graduate student achievements in Shandong Province, along with five outstanding master's dissertations in Shandong Province.
嘉宾简介：李海涛，山东师范大学教授、博士生导师、科学技术处副处长。2014年在山东大学获博士学位，2014年1月至2015年1月在新加坡南洋理工大学从事博士后研究，先后入选山东省杰青、泰山学者青年专家、国家级青年人才计划。主要研究方向为逻辑动态系统的分析与控制、博弈控制论等。承担国家级、省部级科研项目10余项，作为第一/通讯作者在Automatica、IEEE汇刊、SICON发表论文60余篇，在CRC Press出版学术专著1部；2021-2023连续三年入选爱思唯尔中国高被引学者；以第一完成人两次获山东省自然科学二等奖。曾获关肇直奖、CAA优秀博士学位论文提名奖、教育部霍英东青年教师奖三等奖、山东省优秀研究生指导教师、矩阵半张量积杰出成就奖等荣誉。现为TCCT逻辑系统控制学术专题研讨会主席，《中国科学：信息科学》青年编委。
Speech Title: 逻辑动态系统的鲁棒控制与降维
Abstract: 逻辑动态系统是研究基因工程、信息安全、社交网络、人工智能等前沿领域的重要数学模型。由于外部干扰、未建模动态、网络拓扑扰动等因素的影响，逻辑动态系统的鲁棒控制成为近年来国内外专家学者研究的热点问题。此外，受指数阶复杂度的制约，如何降低现存逻辑动态系统分析与控制研究结果的算法复杂度是一个富有挑战性的问题。本报告围绕逻辑动态系统的鲁棒控制、降维等问题，对近年来的相关理论结果进行总结，并结合个人的最新研究结果介绍，对未来的研究进行思考和展望。
Keynote Speakers for Sub-Session
Prof. Jun Song
IEEE Senior Member
Anhui University, China
Profile:Jun Song (Member, IEEE) received the B.E. degree in electronic science and technology and the M.E. degree in pattern recognition and intelligent system from Anhui University, Hefei, China, in 2011 and 2014, respectively, and the Ph.D. degree in control science and engineering from the East China University of Science and Technology, Shanghai, China, in 2018.,He is currently a Professor with Anhui University. From October 2016 to October 2017, he was a Visiting Ph.D. Student with the Department of Computer Science, Brunel University London, Uxbridge, U.K. He was also a Research Assistant or a Research Fellow with The University of Hong Kong, Hong Kong; City University of Hong Kong, Hong Kong; and Western Sydney University, Penrith, NSW, Australia. He is the first author of the monograph: Protocols-Based Sliding Mode Control: 1-D and 2-D System Cases (CRC Press, 2022). His research interests include networked sliding mode control theory and its applications, stochastic systems, brain-controlled robot, and autonomous unmanned system.,Dr. Song was a recipient of the Chinese Association of Automation Outstanding Ph.D. Dissertation Award in 2019. He is an Early Career Editorial Board Member of Franklin Open.
嘉宾简介：宋军，安徽大学人工智能学院教授/博士生导师，安徽省无人系统与智能技术工程研究中心副主任。主持国家自然科学基金面上和青年项目、安徽省高校科学研究重大项目、海螺集团海博无人矿车产学研项目等课题，已入选安徽省优秀青年教师培育重点项目、上海市晨光和扬帆计划项目。发表Automatica、IEEE Transactions期刊论文36篇，出版学术专著2部。现任安徽省机器人学会理事、IEEE/中国仿真学会/中国仪器仪表学会高级会员、安徽省高校智能机器人创意大赛组委会秘书长等，以及Asian Journal of Control期刊Associate Editor。曾获上海市自然科学二等奖、中国自动化学会优秀博士学位论文奖、中国自动化学会自然科学一等奖、安徽省教学成果一等奖等奖励。
Speech Title: 基于人机交互技术的智能无人系统抗干扰控制
Abstract: 人机共融智能无人系统是当前无人系统应用领域的重要方向。本报告主要介绍了基于人机交互技术的智能无人系统控制的难点及挑战，并重点给出了脑控双轮机器人、唇语控制无人机抗干扰控制的最新研究结果。
Prof. Xiangpeng Xie
IEEE/CAAI/CAA Senior Member
Anhui University, China
Profile: Xiang-Peng Xie (Senior Member, IEEE) received the B.S. and Ph.D. degrees in engineering from Northeastern University, Shenyang, China, in 2004 and 2010, respectively.,He is currently a Professor with the Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing, China. His current research interests include fuzzy modeling and control synthesis, state estimation, optimization in process industries, and intelligent optimization algorithms.
嘉宾简介：解相朋，教授、博士生导师，国家优青、省杰青、ESI全球高被引学者(2020-2023)、IEEE/CAAI/CAA高级会员，担任南京邮电大学物联网学院副院长。目前主要从事电力物联网技术、人工智能可解释性、模糊系统建模与控制等研究。获上海市自然科学奖二等奖、中国自动化学会自然科学奖一等奖、中国仿真学会自然科学奖一等奖、中国百篇最具影响国际学术论文奖、第十八届“挑战杯”全国大学生课外学术科技作品竞赛国赛一等奖及江苏赛区特等奖(第一指导老师)、中国自动化学会高等教育教学成果奖二等奖、南京邮电大学十佳研究生导师等科研教学奖励。担任IEEE TII、IEEE TFS、IEEE TCYB等五个SCI国际期刊编委，以第一/通讯作者发表IEEE TFS、TCYB、TNNLS、TSG、TITS、TMECH、TIV、TII、TIM等IEEE汇刊论文96篇，ESI高被引论文21篇，SCI他引8000余次。
Speech Title: 人工智能驱动的工业信息物理系统模糊建模与安全控制
Abstract: 工业发展绿色化形势下，信息深度感知、智慧优化决策、精准控制和自主学习提升，对于提升工业信息物理系统控制水平至关重要。本报告旨在介绍如下研究进展：面向生产全要素动态交互关系的工业信息物理系统数据驱动模型及其演化表征，创新数据与专家知识提炼和融入范式，构建可变拓扑结构自组织分层混合型模糊建模框架；围绕工业信息物理系统的“通信机制-控制性能-网络韧性”间耦合作用机理，构建弹性事件触发通信机制；提出多项式逼近泛函及其非零均值数据噪声扰动策略，在不减弱隐私保护强度下充分保证模型参数效；提出能够量化描述多个采样时刻能量函数演化态势的可变权值切换机制进而实现柔性切换模糊控制等交互增强功能。
Prof. Fanbiao Li
IEEE Senior Member
Central South University, China
Profile: Fanbiao Li (Senior Member, IEEE) received the B.S. degree in applied mathematics from Mudanjiang Normal University, Mudanjiang, China, in 2008, the M.S. degree in operational research and cybernetics from Heilongjiang University, Harbin, China, in 2012, and the Ph.D. degree in control theory and control engineering from the Harbin Institute of Technology, Harbin, in 2015.,From December 2013 to April 2015, he was a Joint Training Ph.D. Student with the School of Electrical and Electronic Engineering, The University of Adelaide, Adelaide, SA, Australia. From April 2015 to February 2016, he was a Research Associate with the School of Electrical and Electronic Engineering, The University of Adelaide. From July 2016 to June 2020, he was an Associate Professor with Central South University, Changsha, China. From April 2017 to March 2018, he was an Alexander von Humboldt Research Fellow with the University of Duisburg–Essen, Duisburg, Germany. He is currently a Full Professor with Central South University. His research interests include control and design of aircraft brake system, sliding-mode control, and fault diagnosis and identification.,Prof. Li currently serves as an Associate Editor for a number of journals, including IEEE Transactions on System, Man, and Cybernetics: Systems, IEEE Transactions on Fuzzy Systems, IEEE/ CAA Journal of Automatica Sinica, and Cognitive Computation.
嘉宾简介：李繁飙，博士、教授、博士研究生导师，国家优秀青年科学基金获得者、德国洪堡学者、IEEE Senior Member。从事复杂系统智能控制及工业应用研究，在Automatica、IEEE Transactions等权威期刊和会议上发表学术论文80余篇，出版英文专著一部。曾获省部级自然科学一等奖3项、中国百篇最具影响国际学术论文奖等。 担任IEEE Trans. Systems, Man and Cybernetics: Systems、IEEE Trans. Fuzzy Systems、IEEE/CAA Journal of Automatica Sinica等权威SCI期刊的副主编或编委；担任中国自动化学会控制理论专委会委员、中国自动化学会自适应动态规划与强化学习专委会委员、中国指挥与控制学会智能控制与系统专委会委员、中国计算机学会智能机器人专委会委员等。作为项目负责人主持国家自然科学基金，科技创新2030-“新一代人工智能”重大专项，湖南省科技创新重大项目、重点研发项目等10余项。
Speech Title: 极端服役条件飞机全电刹车高可靠性控制技术
Abstract: 机轮刹车系统是保障飞机起飞滑行和着陆制动安全的关键核心装备，全电刹车系统具有安全系数高、可靠性强、动态性能好、易维护等优势，是国产大飞机技术发展的主要方向。现代飞机对安全性与舒适性要求更高、服役环境更复杂，对防滑刹车控制的可靠性、多轮系协同转弯的高效性、复杂环境适应性等方面提出更大挑战。本报告主要针对极端服役条件飞机全电刹车系统智能控制技术进行探讨，并针对大型客机国产化、智能化发展方向进行展望。
