This article is concerned with the robust tracking control of linear uncertain systems, whose unknown system parameters and disturbances are bounded within ellipsoidal sets. We propose an adaptive ...

Good active spaces are correctly predicted with a considerably better success rate than random guess (larger than 80% precision for most systems studied). Our automated machine learning protocol shows ...

A synthetic aperture radar (SAR) image classification task when the training and test sets have different distributions can be initially solved using the existing domain adaptation (DA) methods.