Funding from the Energy Storage Engine in Upstate New York will accelerate next-generation power infrastructure ...
Abstract: In this work, time-driven learning refers to the machine learning method that updates parameters in a prediction model continuously as new data arrives. Among existing approximate dynamic ...
Abstract: This article focuses on a novel robust optimal parallel tracking control method for continuous-time (CT) nonlinear systems subject to uncertainties. First, the designed virtual controller ...
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