Abstract: A new algorithm for constructing an inverse of a multivariable linear dynamical system is presented. This algorithm, which is considerably more efficient than previous methods, also ...

Abstract: The problem of the specification of the order and structure of a linear dynamic compensator in order to obtain arbitrary pole placement in a closed-loop linear system comprised of the ...

“Whether you’re building autonomous drones, robotic systems, or industrial mechanisms, our CAN-enabled actuators deliver the precision, reliability, and programmability today’s developers expect,” ...

We demonstrate that large language models can be mapped to nearly-exact equivalent linear systems for any given input sequence, without modifying model weights or altering predictions. We achieve this ...

To solve the model, a proxy-based optimization approach is proposed, where a semiparametric statistical method (i.e., clusterwise linear regression ... in designing a robust groundwater remediation ...

Predicting car prices using multiple linear regression. This project uses real-world automotive data to train a machine learning model capable of estimating car prices based on technical ...

49 CareSens glucose meters will be used as the standard system for blood glucose measurements in all ... The effect of metformin on GOS will be studied using linear models. A list of covariates will ...