98 citations · 135 across the 10 of their papers we have counts for
10 papers
Robust Rigid Body Assembly via Contact-Implicit Optimal Control with Exact Second-Order Derivatives
Christian Dietz, Sebastian Albrecht, Gianluca Frison +2
Efficient planning of assembly motions is a long standing challenge in the field of robotics that has been primarily tackled with reinforcement learning and sampling-based methods…
Differentiable Nonlinear Model Predictive Control
Jonathan Frey, Katrin Baumgärtner, Gianluca Frison +5
The efficient computation of parametric solution sensitivities is a key challenge in the integration of learning-enhanced methods with nonlinear model predictive control (MPC), as…
Multi-Phase Optimal Control Problems for Efficient Nonlinear Model Predictive Control with acados
Jonathan Frey, Katrin Baumgärtner, Gianluca Frison +1
Computationally efficient nonlinear model predictive control relies on elaborate discrete-time optimal control problem (OCP) formulations trading off accuracy with respect to the c…
Introducing the quadratically-constrained quadratic programming framework in HPIPM
Gianluca Frison, Jonathan Frey, Florian Messerer +2
This paper introduces the quadratically-constrained quadratic programming (QCQP) framework recently added in HPIPM alongside the original quadratic-programming (QP) framework. The…
An Efficient Real-Time NMPC for Quadrotor Position Control under Communication Time-Delay
Barbara Barros Carlos, Tommaso Sartor, Andrea Zanelli +4
The advances in computer processor technology have enabled the application of nonlinear model predictive control (NMPC) to agile systems, such as quadrotors. These systems are char…
HPIPM: a high-performance quadratic programming framework for model predictive control
Gianluca Frison, Moritz Diehl
This paper introduces HPIPM, a high-performance framework for quadratic programming (QP), designed to provide building blocks to efficiently and reliably solve model predictive con…
acados: a modular open-source framework for fast embedded optimal control
Robin Verschueren, Gianluca Frison, Dimitris Kouzoupis +7
This paper presents the acados software package, a collection of solvers for fast embedded optimization intended for fast embedded applications. Its interfaces to higher-level lang…
Continuous Control Set Nonlinear Model Predictive Control of Reluctance Synchronous Machines
Andrea Zanelli, Julian Kullick, Hisham Eldeeb +3
In this paper we describe the design and implementation of a current controller for a reluctance synchronous machine based on continuous set nonlinear model predictive control. A c…
The BLAS API of BLASFEO: optimizing performance for small matrices
Gianluca Frison, Tommaso Sartor, Andrea Zanelli +1
BLASFEO is a dense linear algebra library providing high-performance implementations of BLAS- and LAPACK-like routines for use in embedded optimization and other applications targe…
BLASFEO: basic linear algebra subroutines for embedded optimization
Gianluca Frison, Dimitris Kouzoupis, Tommaso Sartor +2
BLASFEO is a dense linear algebra library providing high-performance implementations of BLAS- and LAPACK-like routines for use in embedded optimization. A key difference with respe…