Matmpc-a matlab based toolbox for real-time nonlinear model predictive control

Y Chen, M Bruschetta, E Picotti… - 2019 18th European …, 2019 - ieeexplore.ieee.org
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 …

Investigation on the model-based control performance in vehicle safety critical scenarios with varying tyre limits

A Sakhnevych, VM Arricale, M Bruschetta, A Censi… - Sensors, 2021 - mdpi.com
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** …

Efficient move blocking strategy for multiple shooting‐based non‐linear model predictive control

Y Chen, N Scarabottolo, M Bruschetta… - IET Control Theory & …, 2020 - Wiley Online Library
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 …

Semianalytical measures of nonlinearity based on tensor eigenpairs

EL Jenson, DJ Scheeres - Journal of Guidance, Control, and Dynamics, 2023 - arc.aiaa.org
This paper proposes a semianalytical measure of nonlinearity (MoN) based on tensor
eigenpairs. Approximating nonlinear dynamics via local linearization is a common practice …

An adaptive partial sensitivity updating scheme for fast nonlinear model predictive control

Y Chen, M Bruschetta, D Cuccato… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
In recent years, efficient optimization algorithms for nonlinear model predictive control
(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

E Picotti, L Facin, A Beghi, M Nishimura… - … IEEE Conference on …, 2022 - ieeexplore.ieee.org
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 …

A nonlinear model-predictive contouring controller for shared control driving assistance in high-performance scenarios

E Picotti, M Bruschetta, E Mion… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
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 …

A nonlinear model predictive control based virtual driver for high performance driving

M Bruschetta, E Picotti, E Mion, Y Chen… - … IEEE Conference on …, 2019 - ieeexplore.ieee.org
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 …

Online nonlinear model predictive control for tethered uavs to perform a safe and constrained maneuver

E Rossi, M Bruschetta, R Carli, Y Chen… - 2019 18th European …, 2019 - ieeexplore.ieee.org
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 …

Real-time nonlinear model predictive control of a virtual motorcycle

M Bruschetta, E Picotti, A De Simoi… - … on Control Systems …, 2020 - ieeexplore.ieee.org
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 …