A journal of IEEE and CAA , publishes
high-quality papers in English on original
theoretical/experimental research
and development in all areas of automation
This latest issue includes review on data science, industrial robot, and papers on autonomous driving, decision-making, reinforcement learning, human-machine cooperation, multi-agent reinforcement learning, data-driven control, graph neural networks, artificial intelligence, evolutionary algorithm, multi-objective optimisation, etc.
We are pleased to announce the 2023 Impact Factor of IEEE/CAA Journal of Automatica Sinica is 15.3, ranking Top 1 (1/84, SCI Q1) in the category of Automation & Control Systems, according to the latest Journal Citation Reports (JCR) released by Clarivate Analytics in June 2024.
Researchers propose a computationally simple design for the simultaneous detection and real-time resolution of multiple faults in a wind turbine system