In this paper, a data-driven model predictive control (MPC) strategy is proposed for longitudinal control of an autonomous vehicle with an unknown chassis. The data-driven MPC strategy is developed to ...

The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to see if there's a relationship between two variables, with the first known ...

In this paper, we propose a modification of the logistic regression algorithm that adds one known and one novel fairness constraints into the process of model learning, thus forcing the predictive ...