The startup is making solid-state transformers capable of intelligently aggregating power from a number of different sources ...
Abstract: This letter proposes a dual-system approach to designing tracking controllers for uncertain linear time-invariant systems by explicitly combining prior and data-based knowledge about the ...
Abstract: As the most fundamental type of matrix equation, the Sylvester equation has been widely applied in control theory, signal processing, and many other scientific fields in recent years. The ...
Linear regression is the most fundamental machine learning technique to create a model that predicts a single numeric value. One of the three most common techniques to train a linear regression model ...
Learn how to solve linear systems using the matrix approach in Python. This video explains how matrices represent systems of equations and demonstrates practical solutions using linear algebra ...