
Biography: Dr. Han YUAN, professor and PhD Supervisor at Harbin Institute of Technology, Shenzhen, Guangdong "Pearl River Scholar". He was a visiting scholar at the Soft Robotics Laboratory, University of Bristol, UK. His research focuses on cable-driven flexible robotics. He has led 7 national-level research projects, published over 70 academic papers, and been granted more than 40 national invention patents.

Biography: Huifang Min is a Professor and Ph.D. Supervisor at Nanjing University of Science and Technology. Her research primarily focuses on the design and analysis of nonlinear systems. She currently serves as the Principal Investigator for several research projects, including the General Program and the Young Scientists Fund of the National Natural Science Foundation of China. As the first or corresponding author, she has published over 40 academic papers in authoritative international journals in the field of automatic control. Her awards and honors include the First Prize of the Jiangsu Provincial Science and Technology Award (Natural Science, 3/5), the Second Prize of the Science and Technology Research Award for Higher Education Institutions in Jiangsu Province (1/5), the First Prize of the Science and Technology Award of the Jiangsu Association of Automation (1/5), and the Jiangsu Provincial Young Talent Support Project, etc. She currently serves as an Editorial Board Member for Nonlinear Dynamics, is a Senior Member of IEEE, etc.

Biography: 来金钢,教授、博士生导师。国家级青年人才、德国洪堡学者。2015年至2021年期间先后分别在澳大利亚RMIT大学、德国RWTH Aachen大学等研究机构从事科研工作,曾任德国RWTH Aachen大学E.ON能源研究中心Guest Professor。IEEE Senior Member、IEEE IES 协会(中国)副秘书长、IEEE IES 协会(武汉)副主席、IEEE IES协会网络控制技术委员会委员等;在IEEE 汇刊、Automatica等SCI源刊发表论文80余篇。主持/参与国家自然科学基金项目、欧盟Horizon 2020基金项目、澳大利亚ARC DP项目、国家科技创新2030重大项目、国家自然科学基金重点(联合)项目、南方电网科技项目等30余项基金/人才项目。担任国家自然科学基金会项目、欧盟自然科学基金会项目通讯评议专家。现/曾担任国际SCI期刊IEEE Transactions on Industrial Informatics、IEEE Transactions on Smart Grid、IEEE Transactions on Industry Applications、IEEE Open Journal of the Industrial Electronics Society、IET Generation, Transmission & Distribution等7个杂志编委和多个SCI期刊客座编委。

Biography: Jin-Xi Zhang (Senior Member, IEEE) received the B.S. degree in automation and the Ph.D. degree in control theory and control engineering from the Northeastern University, China, in 2014 and 2020, respectively. From 2019 to 2020, he was a Research Fellow with the University of Johannesburg, South Africa. He is currently a Research Professor with the State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University. His research interests include prescribed performance control, fault diagnosis and fault-tolerant control for complex nonlinear systems. He is also an Associate Editor for IEEE Transactions on Cybernetics, International Journal of Fuzzy Systems, International Journal of Control, Automation, and Systems, and Journal of Automation and Intelligence.

Biography: Lin Jiang is a Research Professor and doctoral & master supervisor at the College of Information Science and Engineering, Northeastern University, and a recipient of “Young Talent Support Project of the China Association for Science and Technology”. Her research mainly focuses on industrial artificial intelligence and intelligent pipeline inspection. She has authored over 30 papers in top journals of the field including IEEE TII and IEEE TIE. She leads over a series of national and provincial research projects such as the sub-project under the Major Scientific Research Instrument Development Program of NSFC, the Youth Program of NSFC, the Special Postdoctoral Research Grant and the Natural Science Foundation of Liaoning Provincial Department of Science and Technology. She has been awarded 7 provincial and ministerial-level science and technology honors, including the Second Prize of Wu Wenjun Science and Technology Progress Award from CAAI as the first completer, and the First Prize of Liaoning Provincial Science and Technology Progress Award. She is an IEEE Member, Deputy Secretary-General of the Industrial Artificial Intelligence Technical Committee under CAAI, and Member of the Youth Working Committee under CAA.

Biography: Meng Zhang is a professor and doctoral supervisor at Xi'an Jiaotong University, a young Changjiang Scholar from the Ministry of Education. Meng Zhang obtained his Ph.D degree from the school of control science and engineering of zhejiang university. Meng Zhang has received honors such as the First Prize for Excellent Achievements in Science and Technology Research at Shaanxi Higher Education Institutions, the First Prize for Natural Science at the Chinese Association of Automation, the Outstanding Youth Award for Artificial Intelligence of Wu Wenjun. Meng Zhang has published more than 40 papers in journals such as Automatica, IEEE TAC Full Paper, IEEE TASE, etc. Meng Zhang serves as an associate editor of IEEE Transactions on Cybernetics, IEEE Transactions on Automation Science and Engineering and the chairman of IEEE IESONCON and other conference industrial forums. Meng Zhang’s research directions include intelligent control and optimization with applications to robotics and smart grids.

Biography: Qingkai YANG is a professor of the Beijing Institute of Technology. He obtained dual doctoral degrees from the University of Groningen in the Netherlands and the Beijing Institute of Technology in 2018. His current research mainly focuses on morphological intelligence, autonomous mobile robots, and cooperative control of multi-agent systems. He won the First Prize of Natural Science Award from The Ministry of Education of China and the Chinese Association of Automation, respectively, in 2022. He serves as a member of the Technical Committee on Control Theory of Chinese Association of Automation, and a senior member of IEEE.
Speech Title: Design and Control of Morphological Intelligent Systems
Abstract: This talk focuses on bio-inspired morphological autonomous systems. The talk begins with modeling and control strategies for tensegrity structures that enable environmental interaction and structural reconfiguration, including methods for single-step rolling, continuous rolling, and folding–unfolding control. It then extends to bio-inspired neuromorphic perception, introducing neuromorphic navigation and event-based vision mechanisms. Finally, from the perspective of automatic control, the talk presents recent advances in swarm autonomous systems and embodied interaction with adaptive environments.

Biography: Wen Kang received the B.S. degree from Wuhan University, Wuhan, China, in 2009, and the Ph.D. degree from Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China, in 2014. From 2015 to 2017, she was a Postdoctoral Researcher with the School of Electrical Engineering, Tel Aviv University, Tel Aviv-Yafo, Israel. In 2022, she joined Beijing Institute of Technology as a Professor. Her research interests include distributed parameter systems, time-delay systems, multi-agent systems, intelligent control, and ADRC. Prof. Kang was supported by National-level young talent program, Beijng Nova program, Xiaomi Young Scholar program. She serves as Associate Editor for IMA Journal of Mathematical Control and Information, IFAC MICNON, Information and Control. She is a Senior Member of IEEE and CAA.
Speech Title: Stabilization of Distributed Parameter Systems and Its Application in Multi-agent Systems

Biography: Xiao-Hu Zhou serves as a professor (Doctoral Supervisor) at Institute of Automation, Chinese Academy of Sciences (CAS). He is a recipient of the prestigious Excellent Young Scientists Fund Program funded by National Natural Science Foundation of China (NSFC) and a member of the Youth Innovation Promotion Association of CAS. His main research areas include medical robotics, artificial intelligence, and machine learning. He has published over 60 academic papers, including 16 in IEEE Transactions, 18 in top-tier conferences like MICCAI, ICRA, IJCAI, and AAAI. He holds 3 authorized US patents and 21 Chinese invention patents.

Biography: 港澳离散制造智能化联合实验室副主任,广东工业大学“青年百人”A类人才计划引进,毕业于日本会津大学。面向北斗规模化应用和低空经济国家战略需求,长期从事人工智能驱动的导航定位新模式、复杂环境高精度高可靠定位及AI导航芯片研究工作。目前团队在AI助力城市复杂环境北斗精准定位方面取得重要进展,被国际导航领域影响力最强的斯坦福团队评为“独特先进的AI高精度卫星定位方法”,且获得国家基金委专题报道。研究成果不仅为解决城市复杂环境中的定位挑战提供了新的解决方案,还为未来低空经济无人机安全进入城市应用提供更加智能、泛在和稳定的北斗高精定位技术提供支持。

Biography: Zhongyang Fei received the B.Sc. and M.Sc. degrees in control science and engineering from Harbin Institute of Technology, China, in 2007 and 2009 respectively, and the Ph.D. degree in mechanical engineering from Washington University in St Louis, USA, in 2013. Since 2021, he has been with the School of Control Science and Engineering, Dalian University of Technology as a Full Professor. His research interests include intelligent control of aero-engines, analysis and control of switched systems and networked systems. He has authored or co-authored over 100 papers in well-known SCI journals in the field, including 13 papers in Automatica and IEEE Transactions on Automatic Control, and more than 40 papers in IEEE Transactions series. As the Principal Investigator, he has consecutively led over 10 projects, including General Programs of the National Natural Science Foundation of China. He was the recipient of the First-Class Natural Science Award of Heilongjiang Province in 2016, and was selected into the “Young Top-Notch Talents” program of the Central Organization Department of China in 2021. He has served on the editorial boards of several international journals and as a session chair/organizer for various international conferences.
Speech Title:Multi-Mode Switching Control for Variable Cycle Engines
Abstract: In view of the wide operating speed range, complex configuration, and multiple operating modes characteristic of variable cycle engines, this talk will discuss multi-mode switching control for such engines. Given the stringent requirements of variable cycle engines in terms of rapidity, robustness, and smoothness, the fixed-time control approach for switched systems is integrated and advanced, and the problem of fixed-time sliding mode control for switched systems is examined. By designing a fixed-time control law and incorporating mode-dependent dwell-time constraints, an upper bound on the reaching time of each sub-sliding surface is prescribed, thereby ensuring that every sub-sliding surface is reachable within a specified time. This effectively avoids oscillation of the system state among multiple sub-sliding surfaces, guarantees fast reachability of the sliding surfaces, and significantly enhances system robustness. A fixed-time compensator is devised to reconstruct the original control signal. Furthermore, an exit mechanism for the compensation component is proposed to improve the smoothness of fuel flow and thrust during mode transitions.