activity
20202024
most citedOnline Motion Planning based on Nonlinear Model Predictive Control with Non-Euclidean Rotation Groups

42 citations · 58 across the 6 of their papers we have counts for

collaborators

6 papers

eess.SY2024

Fast Switching in Mixed-Integer Model Predictive Control

Artemi Makarow, Christian Kirches

We deduce stability results for finite control set and mixed-integer model predictive control with a downstream oversampling phase. The presentation rests upon the inherent robustn…

math.NA2023

Costate Convergence with Legendre-Lobatto Collocation for Trajectory Optimization

José Garrido, Artemi Makarow, Marco Sagliano +2

This paper introduces a new method of discretization that collocates both endpoints of the domain and enables the complete convergence of the costate variables associated with the…

eess.SY2021★ 2 cited

Suboptimal nonlinear model predictive control with input move-blocking

Artemi Makarow, Christoph Rösmann, Torsten Bertram

This paper deals with the integration of input move-blocking into the framework of suboptimal model predictive control. The blocked input parameterization is explicitly considered…

cs.RO2020★ 42 cited

Online Motion Planning based on Nonlinear Model Predictive Control with Non-Euclidean Rotation Groups

Christoph Rösmann, Artemi Makarow, Torsten Bertram

This paper proposes a novel online motion planning approach to robot navigation based on nonlinear model predictive control. Common approaches rely on pure Euclidean optimization p…

eess.SY2020★ 4 cited

Time-optimal control with direct collocation and variable discretization

Christoph Rösmann, Artemi Makarow, Torsten Bertram

This paper deals with time-optimal control of nonlinear continuous-time systems based on direct collocation. The underlying discretization grid is variable in time, as the time int…

eess.SY2020★ 10 cited

Stabilizing Quasi-Time-Optimal Nonlinear Model Predictive Control with Variable Discretization

Christoph Rösmann, Artemi Makarow, Torsten Bertram

This paper deals with the development and analysis of novel time-optimal point-to-point model predictive control concepts for nonlinear systems. Recent approaches in the literature…