Advanced Control Theory and Applications of Intelligent Systems

Chair:	Co-Chair:
Jianqi Chen Nanjing University, China	Di Zhao Nanjing University, China

Key Words: Intelligent System, Adaptive Control, Multi-Agent Systems, Robust Control, Safety-Critical Control

Information: This session focuses on advanced control theory for intelligent systems and its cutting-edge applications. With the rapid development of artificial intelligence, machine learning, and big data technologies, the application of intelligent systems has expanded across various fields, including autonomous driving, smart manufacturing, robotics, and the Internet of Things. The session will concentrate on advanced control methods in intelligent systems, such as adaptive control, robust control, and coordination and optimization in multi-agent systems, while also addressing the challenges and real-world applications of these theories. We invite scholars and researchers worldwide to share their latest results on innovations in control theory for intelligent systems, application cases, and technical implementations, contributing to the theoretical development and widespread application of intelligent systems.

Topics of interest include but are not limited to:

• Adaptive Control and Collaborative Optimization for Intelligent Systems
• Robust Control in Multi-Agent Systems
• Control Theory and Practice in Smart Manufacturing
• Challenges and Solutions in Delay Systems and Networked Control
• Safety Verification and Control for Interconnected Systems

Submission Deadline: April 28, 2026 (the first round)