activity
20242026
collaborators

12 papers

math.OC2026

Economic Nonlinear Model Predictive Control for Microgrids with Generator Up and Downtime Constraints

Jürgen Gutekunst, Armin Nurkanovic, Ekaterina Kostina +3

Recently there has been a lot of progress in the development of economic nonlinear model predictive control (NMPC) schemes for multistage optimal power flow (OPF) problems. However…

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…

math.OC2026

Real-Time Algorithms for Model Predictive Control of Hybrid Dynamical Systems

Armin Nurkanović, Anton Pozharskiy, Moritz Diehl

Model predictive control (MPC) of hybrid dynamical systems is challenging because the associated optimization problem is nonsmooth and the resulting feedback law is discontinuous.…

math.OC2026

Local Convergence Results for Sequential Quadratic Programming with Complementarity Constraints

Armin Nurkanović

Mathematical programs with complementarity constraints (MPCCs) are a challenging class of nonlinear optimization problems, because their nonlinear programming reformulations violat…

math.OC2026

A Globally Convergent Method for Computing B-stationary Points of Mathematical Programs with Equilibrium Constraints

Armin Nurkanović, Sven Leyffer

This paper introduces a computationally efficient method that converges globally to B-stationary points of mathematical programs with equilibrium constraints (MPECs). B-stationarit…

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…