collaborators

5 papers

math.OC2026

CCOpt: an Open-Source Solver for Large-Scale Mathematical Programs with Complementarity Constraints

Anton Pozharskiy, François Pacaud, Moritz Diehl +1

This paper presents the Julia package CCOpt, built on top of the interior-point solver MadNLP. CCOpt implements a suite of algorithms for Mathematical Programs with Complementarity…

eess.SY2026

Identification of a Kalman filter: consistency of local solutions

Léo Simpson, Moritz Diehl

Prediction error and maximum likelihood methods are powerful tools for identifying linear dynamical systems and, in particular, enable the joint estimation of model parameters and…

math.OC2026

Distributed AC Optimal Power Flow: A Scalable Solution for Large-Scale Problems

Xinliang Dai, Yuning Jiang, Yi Guo +3

This paper introduces a novel distributed optimization framework for large-scale AC Optimal Power Flow (OPF) problems, offering both theoretical convergence guarantees and rapid co…

cs.RO2026

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…

math.OC2025

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…