MIT researchers developed SEAL, a framework that lets language models continuously learn new knowledge and tasks.

This study introduces a multi-model predictive control (MMPC) framework for quadrotor attitude regulation, combining the high-precision capabilities of nonlinear model predictive control (NMPC) with ...

This note addresses the problem of feedback control with a constrained number of active inputs. This problem is known as sparse control. Specifically, we describe a novel quadratic model predictive ...

Model comparison: general linear, restricted cubic spline, and polynomial regression. To better characterize the non-linear relationship between cumulative fluoroscopy dose and eye lens dose, multiple ...