ICCSSE 2026

Following the successful legacy of the ICCSSE conference series, the 2026 IEEE International Conference on Control Science and Systems Engineering (ICCSSE 2026) will be held in Wuhan, China from October 23 to 25, 2026.

Co-sponsored by Huazhong University of Science and Technology, the China National Space Administration Lunar Exploration and Space Engineering Center, the Deep Space Exploration Laboratory, the National Space Science Center of the Chinese Academy of Sciences, and the Beijing Institute of Control Engineering, and organized in collaboration with Xidian University, Tongji University, Nanjing University, Beijing University of Posts and Telecommunications, Harbin Institute of Technology, Chongqing University of Technology, the National Key Laboratory of Spacecraft Thermal Control, and the Ningbo Qianxing Technology Innovation Center, the conference will bring together leading researchers, engineers, and practitioners from around the globe.

Call for Papers:
Complex Systems and Systems Engineering
Linear and non-linear systems
Large-scale systems
Multi-agent systems
Complex systems
Complex networks
Multidimensional systems
Modeling, estimation and prediction
Sensors, actuators and transducers
Data acquisition and measurement engineering
Studies on signals and systems
Autonomous Traffic and Transportation Systems
Nuclear Energy Systems Control
Automotive Control Systems and Autonomous Vehicles
Memristor systems
Embedded systems
Model-based diagnosis
Real-time systems
Real-time and fault-tolerant systems
Alarming and fault diagnosis systems
Temporal and spectral system analysis
Genetic algorithms
Evolutionary computation
Machine learning
Artificial intelligence
Aerospace Control Systems
National Defense and Military Systems

Control Theory and Control Technology
Stability, controllability and observability
Adaptive control
Optimal control
Fuzzy control
Neuro control
Neuro-fuzzy control
Robust control
Perceptual control
Process control
Decentralized control
Distributed control
Network-based control
Thermal Systems Control
Industrial Control Electronics
Intelligent control
Stochastic control
Digital and analogue control
Motion and navigation control
Deep learning for control
Meta control
Data-driven control
Adaptive critic designs
Adaptive dynamic programming
Reinforcement learning control
Parallel control
Cloud control
Biomimetic Control Technology
Robot and Robotic Arm Control