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ORCIDMatthias Gerdts
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2020 – today
- 2024
[j23]Mostafa Emam
, Matthias Gerdts:
MPC-Based Routing and Tracking Architecture for Safe Autonomous Driving in Urban Traffic. SN Comput. Sci. 5(4): 375 (2024)- [c20]Rebecca Richter, Alberto De Marchi, Matthias Gerdts:
Collision Avoidance using Iterative Dynamic and Nonlinear Programming with Adaptive Grid Refinements. ECC 2024: 52-57 - [c19]Simon Gottschalk, Matthias Gerdts, Mattia Piccinini:
Reinforcement Learning and Optimal Control: A Hybrid Collision Avoidance Approach. VEHITS 2024: 76-87 - [c18]Mostafa Emam, Thomas Rottmann, Matthias Gerdts:
Efficient Real-Time Obstacle Avoidance Using Multi-Objective Nonlinear Model Predictive Control and Semi-Smooth Newton Method. VEHITS 2024: 178-189 - [i2]Qiannan Wang, Matthias Gerdts:
Path planning for autonomous vehicles with minimal collision severity. CoRR abs/2408.16076 (2024) - 2023
- [j22]Jeremy Bertoncini, Viktoriya Nikitina, Matthias Gerdts:
Multi-Agent Dynamic Scheduling With a Posteriori Path Tracking and Collision Avoidance Using Model Predictive Control. IEEE Control. Syst. Lett. 7: 2101-2106 (2023) - [j21]Alberto De Marchi, Axel Dreves, Matthias Gerdts, Simon Gottschalk, Sergejs Rogovs:
A Function Approximation Approach for Parametric Optimization. J. Optim. Theory Appl. 196(1): 56-77 (2023) - [j20]Markus Zwick, Matthias Gerdts, Peter Stütz:
Sensor-Model-Based Trajectory Optimization for UAVs to Enhance Detection Performance: An Optimal Control Approach and Experimental Results. Sensors 23(2): 664 (2023) - [c17]Rebecca Richter, Andreas Britzelmeier, Matthias Gerdts:
An adaptive mesh dynamic programming algorithm for robotic manipulator trajectory planning. ECC 2023: 1-8 - [c16]Florian Steppich, Matthias Gerdts:
Time Evolution of the State Probability Density Function by Iterative Polynomial Chaos Expansion. ECC 2023: 1-6 - [i1]Rebecca Richter, Alberto De Marchi, Matthias Gerdts:
Collision Avoidance using Iterative Dynamic and Nonlinear Programming with Adaptive Grid Refinements. CoRR abs/2311.03148 (2023) - 2022
- [c15]Mostafa Emam, Matthias Gerdts:
Deterministic Operating Strategy for Multi-objective NMPC for Safe Autonomous Driving in Urban Traffic. VEHITS 2022: 152-161 - 2021
- [j19]Damir Rusiti, Tiago Roux Oliveira, Miroslav Krstic, Matthias Gerdts:
Robustness to delay mismatch in extremum seeking. Eur. J. Control 62: 75-83 (2021) - [j18]Blanca Pablos, Matthias Gerdts:
Substructure exploitation of a nonsmooth Newton method for large-scale optimal control problems with full discretization. Math. Comput. Simul. 190: 641-658 (2021) - [j17]Björn Martens, Matthias Gerdts:
Convergence Analysis for Approximations of Optimal Control Problems Subject to Higher Index Differential-Algebraic Equations and Pure State Constraints. SIAM J. Control. Optim. 59(3): 1903-1926 (2021) - [j16]Andreas Britzelmeier, Matthias Gerdts, Omid Moslehi Rad, Thomas Rottmann:
ROCS: A Realtime Optimization and Control Simulator. Simul. Notes Eur. 31(4): 209-216 (2021) - [c14]Matthias Gerdts, Sergejs Rogovs, Giammarco Valenti:
Solving Complex Intersection Management Problems Using Bi-level MINLPs and Piecewise Linearization Techniques. SMARTGREENS/VEHITS (Selected Papers) 2021: 255-273 - [c13]Matthias Gerdts, Sergejs Rogovs, Giammarco Valenti:
A Piecewise Linearization Algorithm for Solving MINLP in Intersection Management. VEHITS 2021: 438-445 - 2020
- [j15]Andreas Britzelmeier, Matthias Gerdts:
A Nonsmooth Newton Method for Linear Model-Predictive Control in Tracking Tasks for a Mobile Robot With Obstacle Avoidance. IEEE Control. Syst. Lett. 4(4): 886-891 (2020) - [j14]Björn Martens, Matthias Gerdts:
Convergence Analysis for Approximations of Optimal Control Problems Subject to Higher Index Differential-Algebraic Equations and Mixed Control-State Constraints. SIAM J. Control. Optim. 58(1): 1-33 (2020) - [c12]Caroline Specht, Matthias Gerdts, Roberto Lampariello:
Neighborhood estimation in sensitivity-based update rules for real-time optimal control. ECC 2020: 1999-2006
2010 – 2019
- 2019
- [j13]Alberto De Marchi, Matthias Gerdts:
Free finite horizon LQR: A bilevel perspective and its application to model predictive control. Autom. 100: 299-311 (2019) - [j12]Damir Rusiti, Giulio Evangelisti, Tiago Roux Oliveira, Matthias Gerdts, Miroslav Krstic:
Stochastic Extremum Seeking for Dynamic Maps With Delays. IEEE Control. Syst. Lett. 3(1): 61-66 (2019) - [j11]Marcella Samà, Andrea D'Ariano, Konstantin Palagachev, Matthias Gerdts:
Integration methods for aircraft scheduling and trajectory optimization at a busy terminal manoeuvring area. OR Spectr. 41(3): 641-681 (2019) - [c11]Alberto De Marchi, Matthias Gerdts:
Nonsmooth Newton's Method: Some Structure Exploitation. ICCS (3) 2019: 409-420 - [c10]Alberto De Marchi, Matthias Gerdts:
Sparse Switching Times Optimization and a Sweeping Hessian Proximal Method. OR 2019: 89-95 - 2017
- [j10]Vladimir Gaitsgory, Matthias Gerdts:
On Numerical Solution of Singularly Perturbed Optimal Control Problems. J. Optim. Theory Appl. 174(3): 762-784 (2017) - [c9]Marcella Sama, Andrea D'Ariano, Dario Pacciarelli, Konstantin Palagachev, Matthias Gerdts:
Optimal aircraft scheduling and flight trajectory in terminal control areas. MT-ITS 2017: 285-290 - 2016
- [c8]Matthias Rieck, Guillermo P. Falconi, Matthias Gerdts, Florian Holzapfel:
Periodic full circuit race line optimization under consideration of a dynamic model with gear changes. CCA 2016: 1470-1475 - [c7]Jane Jean Kiam, Matthias Gerdts, Axel Schulte:
Fast Subset Path Planning/ Replanning to Avoid Obstacles with Time-Varying Probabilistic Motion Patterns. STAIRS 2016: 185-196 - 2015
- [c6]Michael Burger, Matthias Gerdts, Simone Göttlich, Michael Herty:
Dynamic Programming Approach for Discrete-Valued Time Discrete Optimal Control Problems with Dwell Time Constraints. System Modelling and Optimization 2015: 159-168 - [c5]Konstantin Palagachev, Matthias Gerdts:
Exploitation of the Value Function in a Bilevel Optimal Control Problem. System Modelling and Optimization 2015: 410-419 - 2014
- [c4]Jürgen Pannek, Tom Naundorf, Matthias Gerdts:
Autonomous Control Strategy for High Precision Marking of Installation Drill Holes Using a Mobile Robot. LDIC 2014: 69-78 - 2012
- [j9]Matthias Gerdts, Björn Hüpping:
Virtual control regularization of state constrained linear quadratic optimal control problems. Comput. Optim. Appl. 51(2): 867-882 (2012) - [j8]Jinhai Chen, Matthias Gerdts:
Smoothing Technique of Nonsmooth Newton Methods for Control-State Constrained Optimal Control Problems. SIAM J. Numer. Anal. 50(4): 1982-2011 (2012) - 2011
- [j7]Matthias Gerdts, Martin Kunkel:
A globally convergent semi-smooth Newton method for control-state constrained DAE optimal control problems. Comput. Optim. Appl. 48(3): 601-633 (2011) - [j6]Matthias Gerdts:
Erratum: Global Convergence of a Nonsmooth Newton Method for Control-State Constrained Optimal Control Problems. SIAM J. Optim. 21(2): 615-616 (2011) - [c3]Chantal Landry, Matthias Gerdts, René Henrion, Dietmar Hömberg:
Path-Planning with Collision Avoidance in Automotive Industry. System Modelling and Optimization 2011: 102-111 - [c2]Matthias Gerdts, Ilaria Xausa:
Avoidance Trajectories Using Reachable Sets and Parametric Sensitivity Analysis. System Modelling and Optimization 2011: 491-500 - 2010
- [j5]Martin Schlüter, Matthias Gerdts:
The oracle penalty method. J. Glob. Optim. 47(2): 293-325 (2010)
2000 – 2009
- 2009
- [c1]Robert Baier, Matthias Gerdts:
A computational method for non-convex reachable sets using optimal control. ECC 2009: 97-102 - 2008
- [j4]Matthias Gerdts:
A nonsmooth Newton's method for control-state constrained optimal control problems. Math. Comput. Simul. 79(4): 925-936 (2008) - [j3]Matthias Gerdts, Günter Greif, Hans Josef Pesch:
Numerical optimal control of the wave equation: optimal boundary control of a string to rest in finite time. Math. Comput. Simul. 79(4): 1020-1032 (2008) - [j2]Matthias Gerdts:
Global Convergence of a Nonsmooth Newton Method for Control-State Constrained Optimal Control Problems. SIAM J. Optim. 19(1): 326-350 (2008) - 2007
- [j1]Robert Baier, Christof Büskens, Ilyes Aïssa Chahma, Matthias Gerdts:
Approximation of reachable sets by direct solution methods for optimal control problems. Optim. Methods Softw. 22(3): 433-452 (2007)
Coauthor Index
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