LbMATMPC: an open-source toolbox for Gaussian Process modeling within Learning-based Nonlinear Model Predictive Control
In the last years, Nonlinear Model Predictive Control (NMPC) has widely spread both in
research and industrial contexts. NMPC reliability, however, depends on the accuracy of the …
research and industrial contexts. NMPC reliability, however, depends on the accuracy of the …
A learning-based nonlinear model predictive controller for a real go-kart based on black-box dynamics modeling through gaussian processes
Lately, nonlinear model predictive control (NMPC) has been successfully applied to (semi-)
autonomous driving problems and has proven to be a very promising technique. However …
autonomous driving problems and has proven to be a very promising technique. However …
Continuous-time acceleration modeling through Gaussian processes for learning-based nonlinear model predictive control
Recently, the usage of data-driven techniques to enhance Nonlinear Model Predictive
Control (NMPC) strategies leads to the development of an innovative method known as …
Control (NMPC) strategies leads to the development of an innovative method known as …
Learning-based Model Predictive Control for Automotive Applications
E Picotti - 2024 - research.unipd.it
In recent decades, the automotive industry has largely adopted advanced controllers, such
as advanced driver assistance systems (ADASs), traction control systems, and anti-lock …
as advanced driver assistance systems (ADASs), traction control systems, and anti-lock …