In my latest Signal Spot, I had my Villanova students explore machine learning techniques to see if we could accurately ...
Abstract: In this work, a novel event-triggered iterative learning model predictive control (ILMPC) framework is developed for a class of linear systems subject to input saturation and initial shift.
Abstract: For hyperspectral subpixel target detection tasks, conventional mixing model (CMM) is one of the most intensively used models. Despite the flexibility of CMM in terms of mixing coefficient, ...
$$y = X\beta + \epsilon \qquad \text{where } \epsilon \sim N(0, \sigma)$$ We'll simulate data, solve it analytically, then learn to solve it with gradient descent ...
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