(The following topics include but are not limited to)
Track 1: Control Systems and Intelligent Automation
Linear and nonlinear system control
Adaptive control, robust control, and predictive control
Fuzzy control, neural network control, and intelligent control
Process control and industrial automation
Motion control and robot control
Cooperative and distributed control systems
Networked control systems and safety
Autonomous control strategies and flexible manufacturing
Remote control, monitoring, and remote operation
Fault diagnosis, fault-tolerant control, and reliability analysis
Cooperative control and inclusion control of multi-agent systems
Event-triggered control and limited information control systems
Nonlinear system modeling, analysis, and control
Cloud control systems and control theory driven by digital twins
Control theory and applications (industrial, transportation, healthcare, etc.)
Track 2: Modeling and Simulation Technology
Complex system/complex system modeling and simulation theory
Discrete event simulation and continuous system simulation
Multi-agent modeling and group simulation
Multi-scale modeling and multi-physics field coupling simulation
Agent-based modeling and simulation (ABMS)
Distributed simulation, collaborative simulation, and high-performance simulation
Real-time simulation and hardware-in-the-loop (HIL) testing
Simulation model verification, validation, and uncertainty analysis (V&V)
Virtual prototype and model-based systems engineering (MBSE)
Modeling tools, simulation languages, and supporting environments
Process engineering modeling and process simulation
Track 3: Digital Twin and Intelligent Systems
Digital twin-driven system modeling and simulation
Construction, virtual-real mapping, and real-time interaction of digital twins
AI-enhanced digital twins and industrial automation
Fault prediction, health management (PHM), and dynamic scheduling based on digital twins
Digital twins, embedded simulation, and parallel simulation
Industrial digital twins and intelligent manufacturing
Semantic modeling and interoperability in digital twins (such as AAS, OPC UA)
Robot system modeling, simulation, and control
Industrial Internet of Things and information physical system modeling
Data-driven modeling, decision engineering, and predictive analysis
Application of machine learning/deep learning in modeling, simulation, and optimization
Generative simulation, world model, and physical information machine learning
Virtual reality/augmented reality and simulation visualization technology
Intelligent simulation optimization and intelligent scheduling
Industrial big data analysis, edge computing, and cloud simulation platform
...