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 reviews on crowdsourcing, data fusion, multi-agent reinforcement learning, cyber physical system, and papers on agents-based systems, cooperative control, optimization, bounded control, event-triggered control, convolutional neural networks, nonlinear systems, Kalman filter, etc.
The 2020 Impact Factor of IEEE/CAA Journal of Automatica Sinica is 6.171, ranking among Top 11% (7/63, SCI Q1) in the category of Automation & Control Systems, according to the latest JCR released by Clarivate Analytics in June 2021.
Researchers propose a computationally simple design for the simultaneous detection and real-time resolution of multiple faults in a wind turbine system