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Call for Papers

ICCSSE 2026 Topics

The 12th IEEE International Conference on Control Science and Systems Engineering (ICCSSE 2026) invites researchers, engineers, and practitioners to submit original papers in the following topics of interest:

Important Information

Paper Requirements 稿件要求

Papers presenting original research, design, implementation, or application results in the above areas are welcome. Both theoretical papers and simulation/experimental results are accepted.

Submission Deadline 投稿截止日期

June 20, 2026

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1. Complex Systems and Systems Engineering 复杂系统与系统工程

  • 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

2. Control Theory and Control Technology 控制理论与控制技术

  • 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