(The following topics include but are not limited to)
Track 1: Control Theory and System Engineering
Intelligent Control Theory and Methods
Adaptive Control and Robust Control
Predictive Control and Model Predictive Control (MPC)
Nonlinear System Control and Fault-Tolerant Control
Distributed Control Systems and Networked Control
Multi-Agent System Cooperative Control
Data-Driven Control and System Identification
Complex System Modeling, Simulation and Digital Twinning
Intelligent Fault Detection, Diagnosis and Fault-Tolerant Control
Optimal Control and Optimization Control Methods
Sliding Mode Control and Variable Structure Control
Cyber-Physical Systems and Security Control
Track 2: Intelligent Systems and Automation
Robot Systems and Bionic Robots
Autonomous Navigation and Obstacle Avoidance Technology
Human-Computer Interaction and Human-Computer Cooperative Control
Industrial Automation and Intelligent Manufacturing
Mechatronics and Embedded Systems
Sensor Networks and Multi-Sensor Data Fusion
Intelligent Sensing, Cognition and Decision
Industrial Internet and Equipment Integration
Edge Computing and Intelligent Autonomous Systems
Digital Twinning and Virtual Debugging
Mobile Robots and Industrial Navigation
Intelligent Transportation Systems and Autonomous Vehicle Control
Track 3: Frontiers of AI-driven Automation
Application of Deep Learning in Control Systems
Reinforcement Learning and Autonomous Control Decision-making
Neural Network Control and Fuzzy Control
Embodied Intelligence and Perception-Decision-Control Loop
Robot Motion Planning and Adaptive Control
Multi-Robot Collaboration and Swarm Intelligence
Industrial Robot System Design and Application
Autonomous Navigation, SLAM and Obstacle Avoidance Technology
Application of Computer Vision in Intelligent Control
Large Models and Knowledge Graphs-driven Intelligent Decision-making
Trustworthy Application of Explainable AI in Control Systems
Bionic Control and Soft Robotics ......