Conference Information

ICCSSE 2026: International Conference on Control Science and Systems Engineering

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Submission Date:
2026-06-20
Notification Date:
2026-07-20
Conference Date:
2026-10-23
Location:
Wuhan, China
Years:
12
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Call For Papers

ICCSSE 2026 (International Conference on Control Science and Systems Engineering) is an academic conference held in Wuhan, China on 2026-10-23. The paper submission deadline is 2026-06-20. Acceptance notifications are sent on 2026-07-20.

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: 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
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