Speakers（报告人）

Yungang Liu (Shandong University, China)

Yu Liu (South China University of Technology, China)

Zhongkui Li (Peking University, China)

Xiang Yu (Beihang University, China)

Speaker1

Speaker:   Yungang   Liu (Shandong University, China)

Title: Nonlinear output-feedback   control

Abstract: This   talk will focus on nonlinear output-feedback control (NOFC). It begins with   some classic yet intriguing topics, including "Example and   Counterexample," "Certainty Equivalence and Weak Separation,"   and "Two Typical Nonlinear Systems for NOFC and the   State-of-the-Art." Subsequently, several recent works on NOFC,   particularly those with prescribed transient performance, will be introduced.

Biography: Yungang   Liu is currently a Changjiang Scholar Chair Professor at the School of   Control Science and Engineering, Shandong University, China. He directs the   Key Laboratory of Machine Intelligence and System Control, Ministry of   Education of China, the Institute of Artificial Intelligence and Systems and   Control at Shandong University, and the Technical Committee on Artificial   Intelligence and Machine Vision at the Shandong Institute of Electronics. His   research interests include stochastic control, nonlinear control design and   system analysis, cooperative control, distributed parameter systems, adaptive   control and applications, robotics and motion control, and artificial   intelligence. Dr. Liu has received numerous awards, including the National   Outstanding Youth Science Foundation of China, the Special Government   Allowances of the State Council of China, and the Taishan Scholar Climbing   Professor of Shandong Province of China. He was awarded the Guan Zhaozhi   Award in the Chinese Control Conference in 2004, the Second Prize of the   National Natural Science Award of China in 2015, and the Excellent Doctoral   Dissertation Award of the Chinese Association of Automation (CAA) in 2018.

Speaker 2

Speaker: Yu   Liu (South China University of Technology, China)

Title: Asymptotic   Anti-Disturbance Control for Networked Mobile Flexible Manipulators under   Prescribed Performance and DoS Attacks

Abstract: To address the asymptotic   time-varying consensus tracking problem of mobile flexible dual-link   manipulators with unknown disturbances, predefined performance, and   denial-of-service (DoS) attacks, a novel distributed boundary control scheme   is designed for PDE-ODE multi-agent systems under heterogeneous leader   systems to achieve asymptotic consensus tracking. An adaptive distributed   switching observer is proposed to asymptotically estimate the leader's   signal, whether the network is under attack or not. A servo system is then   introduced to generate the desired lateral displacement. By utilizing barrier   Lyapunov functions (BLFs) and finite-time performance functions (FTPFs), the   tracking errors of the two angles and the movement displacements of all   agents are ensured to meet the specified transient performance requirements.   Adaptive radial basis function neural networks (RBFNNs) are employed to   approximate unknown parameter terms, and adaptive techniques are used to   compensate for the effects of gain faults and composite disturbances. The   Lyapunov stability theory is utilized to prove the asymptotic convergence and   specified control performance of the closed-loop system. The well-posed   problem is addressed using the operator semigroup method, and simulation   results validate the effectiveness of the designed boundary control law.

Biography: Yu Liu is a second-level professor,   doctoral supervisor   at the School   of Automation, South China University of Technology. He is a Distinguished Professor under the "Chang Jiang   Scholars Reward Program" of the Ministry of Education, a distinguished talent under the "Guangdong Special   Support Program," the Chief Scientist of the National Key Research and   Development Program, and the Chief Scientist of the Guangdong Provincial Key   Research and Development Program. Professor Liu's research focuses on   intelligent control, visual detection, perception, and decision-making. In   the past five years, he has led nearly 20 projects, including two National   Key Research and Development Projects, National Natural Science Foundation   key projects, and two JKW special projects. He has published over 40   high-level papers in journals such as IEEE TAC, Automatica, and IEEE   Transactions. As the primary applicant, he has been granted one U.S. patent,   one UK patent, and over 30 Chinese invention patents. As the lead researcher,   he has received the First Prize of the Guangdong Province Technology   Invention Award, the First Prize of the CAA Science and Technology Progress   Award, the Second Prize of the Guangdong Province Natural Science Award, and   the Second Prize of the CAA Higher Education Teaching Achievement Award.

Speaker 3

Speaker: Zhongkui   Li (Peking University, China)

Title: Fast   & Adaptive Multi-agent Planning Under Complex Temporal Logic Tasks

Abstract: Efficient coordination and planning   are essential for large-scale multi-agent systems collaborating in a shared   dynamic environment. Heuristic search methods or learning-based approaches   often lack guarantees on correctness and performance. Moreover, when   collaborative tasks involve both spatial and temporal requirements, such as   linear temporal logic (LTL) formulas, formal methods provide a verifiable   framework for task planning. However, the planning complexity grows   exponentially with the number of agents and the length of the task formula,   limiting existing studies to small artificial cases. To address this issue,   we propose a new fast and adaptive planning paradigm for system-wide temporal   task formulas by computing the product of relaxed partially ordered sets   (R-posets) on-the-fly and assigning these subtasks to the agents subject to   the ordering constraints. The proposed algorithm's distinct feature is its   ability to derive the first valid plan with polynomial time and memory   complexity relative to the system size and formula length.

Biography:   Zhongkui Li received the B.S. degree in space engineering from the National   University of Defense Technology, China, in 2005, and his Ph.D. degree in   dynamical systems and control from Peking University, China, in 2010. Since   2013, Dr. Li has been with the College of Engineering, Peking University,   China, where he is currently a Full Professor. His current research interests   include cooperative control and planning of multi-agent systems. Dr. Li was   the recipient of the China National Science Funds for Distinguished Young   Scientists in 2024, the State Natural Science Award of China in 2015, the   Natural Science Award of the Ministry of Education of China in 2022 and 2011,   and the National Excellent Doctoral Thesis Award of China in 2012. His co-authored papers have received the   IET Control Theory & Applications Premium Award in 2013 and the Best   Paper Award of the Journal of Systems Science & Complexity in 2012. He   serves as an Associate Editor of IEEE Transactions on Automatic Control and   several other journals.

Speaker 4

Speaker: Xiang   Yu (Beihang University, China)

Title: Preliminary Exploration   of Bionic Intelligence in Unmanned Aerial Vehicles

Abstract: This report introduces the research   progress of the team in the field of biomimetic intelligence of unmanned   aerial vehicles, focusing on interference learning and prediction, biomimetic   polarization navigation, biomimetic capture control, and safe flight in   narrow spaces. The research addresses the challenges of estimation learning,   perception positioning, and precise control of unmanned aerial vehicles in   strong interference adversarial environments from the perspective of   biomimetic intelligence (brain intelligence, vision, dexterity, physical   fitness).

Biography:   Yu Xiang is a professor at the School of Automation Science and Electrical   Engineering, Beihang University. He is a recipient of the National Science   Fund for Distinguished Young Scholars and the National Youth Program of   High-Level Talents. Prof. Yu is dedicated to  to research in bionic autonomous navigation and   safe control of unmanned aerial vehicles.   He has undertaken projects such as key research and development plans from   the Ministry of Science and Technology and basic scientific research projects   from the State Administration of Science, Technology and Industry for   National Defense. He has published over 80 papers in authoritative journals   in the fields of aerospace and control systems technology, authored one   monograph, and has been granted more than 40 national invention patents. He   is listed among the top 2% of scientists in the field of aerospace globally. Prof.   Yu has received numerous awards, including the Gold Award at the 2024 Global   Artificial Intelligence Product Application Expo, the First Prize for   Scientific and Technological Progress from the Chinese Instrument and Control   Society in 2023, the Gold Award at the 2023 Geneva International Exhibition   of Inventions, the Special Prize at the 2022 China Sensor Competition, the   Youth Science and Technology Award from the Chinese Society of Aeronautics   and Astronautics in 2021, and four Best Paper Awards at domestic and   international academic conferences.