Matmpc-a matlab based toolbox for real-time nonlinear model predictive control
In this paper we introduce MATMPC, an open source software built in MATLAB for nonlinear
model predictive control (NMPC). It is designed to facilitate modelling, controller design and …
model predictive control (NMPC). It is designed to facilitate modelling, controller design and …
Investigation on the model-based control performance in vehicle safety critical scenarios with varying tyre limits
In recent years the increasing needs of reducing the costs of car development expressed by
the automotive market have determined a rapid development of virtual driver prototy** …
the automotive market have determined a rapid development of virtual driver prototy** …
Efficient move blocking strategy for multiple shooting‐based non‐linear model predictive control
Move blocking (MB) is a widely used strategy to reduce the degrees of freedom (DoFs) of the
optimal control problem (OCP) arising in receding horizon control. The size of the OCP is …
optimal control problem (OCP) arising in receding horizon control. The size of the OCP is …
Semianalytical measures of nonlinearity based on tensor eigenpairs
This paper proposes a semianalytical measure of nonlinearity (MoN) based on tensor
eigenpairs. Approximating nonlinear dynamics via local linearization is a common practice …
eigenpairs. Approximating nonlinear dynamics via local linearization is a common practice …
An adaptive partial sensitivity updating scheme for fast nonlinear model predictive control
In recent years, efficient optimization algorithms for nonlinear model predictive control
(NMPC) have been proposed, that significantly reduce the online computational time. In …
(NMPC) have been proposed, that significantly reduce the online computational time. In …
Data-driven tuning of a nmpc controller for a virtual motorcycle through genetic algorithm
In recent years, virtual prototy** tools have gained a central role in the design process of
new vehicles. While vehicles dynamics emulation is nowadays extremely accurate, the …
new vehicles. While vehicles dynamics emulation is nowadays extremely accurate, the …
A nonlinear model-predictive contouring controller for shared control driving assistance in high-performance scenarios
An increasing number of vehicles today are equipped with advanced driver-assistance
systems that provide humans involved in the driving tasks with continuous and active …
systems that provide humans involved in the driving tasks with continuous and active …
A nonlinear model predictive control based virtual driver for high performance driving
Virtual prototy** is currently a widely used tool for the development of new cars. In this
paper, the development of an effective virtual driver (VD) is described, that aims at …
paper, the development of an effective virtual driver (VD) is described, that aims at …
Online nonlinear model predictive control for tethered uavs to perform a safe and constrained maneuver
This paper focuses on the design and implementation of a two layer hierarchical controller
for a tethered aerial vehicle. In particular, a challenging problem of smoothly landing on a …
for a tethered aerial vehicle. In particular, a challenging problem of smoothly landing on a …
Real-time nonlinear model predictive control of a virtual motorcycle
Virtual prototy** tools are widely used in the development of new motorcycles, but the
instability of two-wheel vehicles leads to the necessity of implementing a vehicle driver. In …
instability of two-wheel vehicles leads to the necessity of implementing a vehicle driver. In …