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Data-driven System Interconnections and a Novel Data-enabled Internal Model Control
Over the past two decades, there has been a growing interest in control systems research to transition from model-based methods to data-driven approaches.
Data-Driven Inverse of Linear Systems and Application to Disturbance Observers
Specifically, the problem addressed here is to find an input sequence from the corresponding output sequence based on pre-collected input and output data.
Explainable Deep Learning Algorithm for Distinguishing Incomplete Kawasaki Disease by Coronary Artery Lesions on Echocardiographic Imaging
Identifying coronary artery lesions by echocardiography is important for the timely diagnosis of and favorable outcomes in KD.
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