报告人1：
周彬 哈尔滨工业大学，教授，博导，
国家杰青
Biography
Bin Zhou is a Professor of the Harbin Institute of Technology, the Director of the Center for Control Theory and Guidance Technology. He is a winner of the National Science Fund for Distinguished Young Scholars, a winner of the National Excellent Doctoral Dissertation Award, a winner of the China Youth Science and Technology Innovation Award, and a winner of the Second Prize of the National Natural Science Award. His current research interests include time-delay systems, time-varying systems, nonlinear control, multiagent systems, and control applications in astronautic engineering. In these areas, he has published over 100 articles in archival journals such as Automatica, IEEE Transactions on Automatic Control, and SIAM Journal on Control and Optimization. He is currently an Associate Editor of Automatica, IET Control Theory and Applications, Asian Journal of Control, Journal of System Science and Mathematical Science, and Control and Decision.
Title: On Transforming LTV Systems Into Full-actuated Systems and LTI Systems
Abstract: For a linear time-invariant (LTI) system, controllability is equivalent to that it can be transformed into a high-order fully actuated (HOFA) system. However, for a linear time-varying (LTV) system, the controllability conditions required for transforming it to a HOFA system are more restrictive. Both single-input and multiple-inputs LTV systems will be treated in this report. In the single-input case, an LTV system can be transformed into a standard HOFA system if and only if its controllability matrix defined in the Silverman criterion is nonsingular for any time, which is only sufficient but not necessary for the controllability of the system. If the controllability matrix defined in the Silverman criterion is not nonsingular for any time, we give examples to illustrate that a degenerated HOFA system might be obtained. In the multiple-inputs case, an LTV system can be transformed into a standard HOFA system if its controllability matrix is nonsingular at any time and lexicography-fixed, i.e., with some choices of fixed controllability indices. In addition, considering that controllable canonical form is a special type of input-output normal form, if there exists appropriate fictional output such that the sum of the relative degrees of the system is equal to the dimension of the system state and the coupling matrix is nonsingular for any time, an LTV system can also be transformed into a standard HOFA system.
报告人2：
孙希明 大连理工大学，教授，博导，
国家杰青
Biography
Xi-Ming Sun received the Ph.D. degree in Control Theory and Control Engineering from the Northeastern University, China, in 2006. From August 2006 to December 2008, he worked as a Research Fellow in the Faculty of Advanced Technology, University of Glamorgan, UK. He then visited the School of Electrical & Electronic Engineering, Melbourne University, Australia in 2009, and Polytechnic Institute of New York University in 2011, respectively. He is currently a Professor in the School of Control Science and Engineering, Dalian University of Technology, China. He is IEEE Senior Member, member of IFAC and the associate editor of the journal of IEEE Transactions on Cybernetics. He was awarded the Second Prize of National Natural Science Award in 2020 and Most Cited Article 2006–2010 from the journal of Automatica in 2011.
Title: Recent Development on Data-Driven Control for Switched Systems
Abstract: Most of the existing literature on switched systems focus on model-based control. However, it is often difficult to obtain an accurate model by first principle. Data-driven control for switched systems has become a hot topic in control field. This report will give an introduction on recent development of data-driven switching control. The main content includes various kinds of data-driven controller.
报告人3：
韩红桂 北京工业大学，教授，博导，
国家杰青
个人简介
韩红桂，教授、博士生导师，研究生院副院长/教师学院副院长。长期从事复杂系统智能控制研究，先后入选国家自然科学基金杰出青年基金项目、国家自然科学基金优秀青年基金项目、青年北京学者、中国自动化学会青年科学家、北京高校卓越青年科学家等。主持国家重点研发计划、国家自然科学基金重大项目课题等项目10余项。研究成果在IEEE汇刊、IFAC会刊及国内著名期刊发表学术论文100余篇，撰写著作5部；获得授权中国/美国发明专利60余项；主持/参与制定国家/团体/地方标准10余项。获国家科学技术进步二等奖、教育部科技进步一等奖、吴文俊人工智能科学技术进步奖一等奖、中国发明协会发明创新奖一等奖（金奖）等，第十二届发明创业奖人物奖等。现任“数字社区”教育部工程研究中心主任、“计算智能与智能系统”北京市重点实验室主任；兼任中国科学：技术科学、IEEE Transactions on Cybernetics等期刊编委。
报告题目：城市污水再生过程智能控制理论与技术
摘要：城市污水再生过程运行机理复杂、运行环境恶劣，始终工作在非平稳状态，致使与活性污泥法净水工艺相关过程变量控制难，导致出水水质不稳定，不能满足城市污水再生利用标准。围绕制约城市污水再生过程出水水质不稳定、运行过程不平稳等问题，进行了长期深入的研究，研发出城市污水再生过程智能控制理论与技术，研制出城市污水再生过程智能控制系统。研究成果可以实现城市污水再生过程变量的精确稳定控制，为城市污水再生过程高效稳定运行提供重要技术支持。
报告人4：
陈彩莲 上海交通大学，教授，博导，
国家杰青
Biography
Cailian Chen is currently a Distinguished Professor of Shanghai Jiao Tong University, Shanghai, P. R. China. Her research interests include sensing and control for network systems. She has authored 4 research monographs and over 100 referred international journal papers. She is the inventor of more than 30 patents. Dr. Chen received the prestigious "IEEE Transactions on Fuzzy Systems Outstanding Paper Award" in 2008, and 5 conference best paper awards. She won the IEEE TCCPS Industrial Technology Excellence Award in 2022, Second Prize of National Natural Science Award from the State Council of China in 2018, First Prize of Natural Science Award from The Ministry of Education of China in 2006 and 2016, respectively, and First Prize of Technological Invention of Shanghai Municipal, China in 2017. She was honored “National Outstanding Young Researcher” by NSF of China in 2020 and “Changjiang Young Scholar” in 2015, N2Women Top Ten Stars in Computer Networking and Communications in 2022.
Prof. Chen has been actively involved in various professional services. She serves as Deputy Editor of National Science Open, and Associate Editor of IEEE Transactions on Vehicular Technology, and IET Cyber-Physical Systems: Theory and Applications. She also served as TPC Chair of ISAS’19, Symposium TPC Co-chair of IEEE Globecom 2016, Track Co-chair of VTC2016-fall and VTC2020-fall.
Title: Joint Design of Distributed Sensing and Cooperative Transmission for Field-level Industrial Internet of Things
Abstract: With the rapid development of information and communication technology, industrial IoT integrated with wireless technology has been implemented in industrial sites and promoted the integration of IT and OT. However, compared with the wired communication, wireless communication faces various new challenges. Complex and serious electromagnetic interference, dynamic and variable wireless links, and blocking of large mobile equipment lead to the difficulty of guaranteeing the real-time, reliable and deterministic transmission of sensed information in monitoring systems. By taking the full advantage of time-frequency-space multi-dimensional resources to design a cooperative transmission mechanism, it can effectively resist fading, suppress interference, and significantly improve end-to-end information transmission performance. In this talk, we will discuss the distributed dynamic sensing method and the design of real-time reliable deterministic transmission mechanism for heterogeneous data based on field-level industrial networks with industrial process monitoring system. We propose the correlation feature learning mechanism and resource pre-allocation strategy for matching processes to avoid the complex handshake overhead under the traditional dynamic access mechanism, thus reducing access delay and jitter, and improving resource utilization efficiency. Time-sensitive network (TSN) gateway devices and test benches are developed to ensure the performance of heterogeneous data transmission, enabling flexible configuration and dynamic networking of communication devices, providing communication infrastructure guarantee to enhance the field-level sensing and monitoring capability of industrial IoT.