ICIEA 2026 Special Session

SS17: Distributed Control, Learning and Applications in Multi-Agent Systems

Organized by:

Organizer 1: Shuyuan Zhang

Email: shuyuan.zhang@uclouvain.be

Affiliation: Université catholique de Louvain, Belgium

Organizer 2: Lipo Mo

Email: beihangmlp@126.com ; molipo@th.btbu.edu.cn

Affiliation: Beijing Wuzi University, China

Organizer 3: Lei Wang

Email: lwang@buaa.edu.cn

Affiliation: Beihang University, China

Summary of session:

Multi-agent systems represent a core paradigm for developing intelligent, scalable, distributed solutions capable of operating safely and efficiently in complex, uncertain, and dynamic environments. Their autonomy, cooperative capabilities, and inherent scalability make multi-agent systems essential across a wide range of domains, including robotics, smart cities, intelligent transportation, energy systems, and industrial automation.

This session aims to showcase recent advances in learning, prediction, control and optimization for multi-agent systems, spanning both fundamental theory and practical applications. We welcome contributions on agent coordination, adaptive and robust control, fault-tolerant and safety-critical control, distributed optimization, multi-agent reinforcement learning, and data-driven decision-making, as well as works that integrate multi-agent systems with emerging technologies such as computer vision, advanced robotics, and large language models.

Topics of interest for submission include, but are not limited to:

• Distributed and cooperative control for large-scale multi-agent systems.
• Adaptive, robust, and fault-tolerant techniques for multi-agent coordination.
• Safety-critical control, AI-driven verification, and formal methods.
• Machine learning, reinforcement learning, and learning-based control and optimization.
• Data-driven modeling, estimation, prediction, and decision-making for multi-agent systems.
• Multi-agent applications involving robotics, autonomous vehicles, cyber-physical systems, intelligent infrastructure, industrial automation, and related domains.