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Autonomous vehicle: from a single to multi CPS
- 来源：
- 学校官网
- 收录时间：
- 2026-04-05 14:13:50
- 时间：
- 2025-11-21 16:30:00
- 地点：
- SX407
- 报告人：
- Ahmed RAHMANI
- 学校：
- 北京交通大学
- 关键词：
- autonomous vehicle, cyber-physical system, multi-agent systems, collaborative control, LPV observer, physics-informed neural network, lateral speed estimation
- 简介：
- After a very brief presentation of our laboratory and our research team, we will begin this report with a presentation of research on the collaborative control of multi-agent systems. Here we consider a physical agent such as a robot, UAV, and, more generally, a cyber-physical system. For all these cases, it is often considered that a single agent is controllable, which allows us to consider the collaborative control of the group. This is not the case for the autonomous vehicle. Indeed, this CPS is not « perfectly » controllable, and before considering the collaborative control of a system of multiple autonomous vehicles, we will first consider sigle vehicle. We will present our contribution to the control of a single and particulary a Lateral Speed Estimation of an Autonomous Vehicles combining an LPV Unknown Input Observer with a Physics-informed Neural Network.
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报告介绍：
After a very brief presentation of our laboratory and our research team, we will begin this report with a presentation of research on the collaborative control of multi-agent systems. Here we consider a physical agent such as a robot, UAV, and, more generally, a cyber-physical system. For all these cases, it is often considered that a single agent is controllable, which allows us to consider the collaborative control of the group. This is not the case for the autonomous vehicle. Indeed, this CPS is not « perfectly » controllable, and before considering the collaborative control of a system of multiple autonomous vehicles, we will first consider sigle vehicle. We will present our contribution to the control of a single and particulary a Lateral Speed Estimation of an Autonomous Vehicles combining an LPV Unknown Input Observer with a Physics-informed Neural Network.
报告人介绍：
Ahmed RAHMANI, a highly experienced and accomplished Full Professor at Centrale Lille Institut and researcher at Centre de Recherche en Informatique Signal Automatique de Lille (CRIStAL), specializing in Automatic Control Engineering & Computer Science, with over 35 years of academic and research experience. Expertise includes design and control of cyber physical systems, collaborative control of multi-agent / multi robot systems, distributed control, swarm robotics, autonomous vehicle systems, Intelligent Robotics and AI integration. Proven track record of leading research projects, publishing in peer-reviewed journals, securing research funding, and mentoring graduate and doctoral students. Committed to advancing complex systems technology and fostering innovation in both academic and industrial applications. Visiting professor several times with Beijing Jiaotong University and Beihang University, China. Strong record of international collaborations concern China (Beihang university, Beijing Jiaotong University), Spain (Polytechnic university of Catalonia, Barcelona) , Germany (Oldenburg University), Morocco (Marrakech University, Fes University, Centrale Casablanca), India (IIT Roorkee, VeloreIT). Reviewer for various journals and international conferences. Program Chair or a member of Advisor /Organizing Committee for many international conferences. Proven leadership in teaching, supervising PhDs, managing research projects, and academic program development. Head of Master “Industry 4.0” at Centrale Lille (France) and Head of specialisation “Electronic and information” at Centrale Beijing (Beihang French Institute). Coordinator China mobility at Centrale Lille Institut.
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