受强制性开放获取政策约束的文章 - Matthias Gerdts了解详情
无法在其他位置公开访问的文章：13 篇
A generalized Nash equilibrium approach for optimal control problems of autonomous cars
A Dreves, M Gerdts
Optimal Control Applications and Methods 39 (1), 326-342, 2018
强制性开放获取政策： US Department of Defense
Smoothing technique of nonsmooth Newton methods for control-state constrained optimal control problems
J Chen, M Gerdts
SIAM Journal on Numerical Analysis 50 (4), 1982-2011, 2012
强制性开放获取政策： German Research Foundation
A globally convergent semi-smooth Newton method for control-state constrained DAE optimal control problems
M Gerdts, M Kunkel
Computational Optimization and Applications 48 (3), 601-633, 2011
强制性开放获取政策： German Research Foundation
Convergence analysis for approximations of optimal control problems subject to higher index differential-algebraic equations and mixed control-state constraints
B Martens, M Gerdts
SIAM Journal on Control and Optimization 58 (1), 1-33, 2020
强制性开放获取政策： German Research Foundation
Virtual control regularization of state constrained linear quadratic optimal control problems
M Gerdts, B Hüpping
Computational Optimization and Applications 51, 867-882, 2012
强制性开放获取政策： German Research Foundation
Numerical solution of control-state constrained optimal control problems with an inexact smoothing Newton method
J Chen, M Gerdts
IMA journal of numerical analysis 31 (4), 1598-1624, 2011
强制性开放获取政策： German Research Foundation
Convergence analysis of the implicit Euler-discretization and sufficient conditions for optimal control problems subject to index-one differential-algebraic equations
B Martens, M Gerdts
Set-Valued and Variational Analysis 27, 405-431, 2019
强制性开放获取政策： German Research Foundation
Convergence analysis for approximations of optimal control problems subject to higher index differential-algebraic equations and pure state constraints
B Martens, M Gerdts
SIAM Journal on Control and Optimization 59 (3), 1903-1926, 2021
强制性开放获取政策： German Research Foundation
A dynamic programming MPC approach for automatic driving along tracks and its realization with online steering controllers
A Huber, M Gerdts
IFAC-PapersOnLine 50 (1), 8686-8691, 2017
强制性开放获取政策： US Department of Defense
Collision-free path planning of welding robots
C Landry, M Gerdts, R Henrion, D Hömberg, W Welz
Progress in Industrial Mathematics at ECMI 2012, 251-256, 2014
强制性开放获取政策： German Research Foundation
Error Analysis for the Implicit Euler Discretization of Linear-Quadratic Control Problems with Higher Index DAEs and Bang–Bang Solutions
B Martens, M Gerdts
Progress in Differential-Algebraic Equations II, 291-330, 2020
强制性开放获取政策： German Research Foundation
Solving complex intersection management problems using bi-level MINLPs and piecewise linearization techniques
M Gerdts, S Rogovs, G Valenti
International Conference on Vehicle Technology and Intelligent Transport …, 2021
强制性开放获取政策： US Department of Defense
A linear-quadratic model-predictive controller for control and state constrained nonlinear control problems
M Gerdts, B Hüpping
Recent Advances in Optimization and its Applications in Engineering: The …, 2010
强制性开放获取政策： German Research Foundation
可在其他位置公开访问的文章：12 篇
Path planning and collision avoidance for robots
M Gerdts, R Henrion, D Hömberg, C Landry
Numerical Algebra, Control and Optimization 2 (3), 437-463, 2012
强制性开放获取政策： German Research Foundation
A nonsmooth Newton's method for discretized optimal control problems with state and control constraints
M Gerdts, M Kunkel
Journal of Industrial and Management Optimization 4 (2), 247, 2008
强制性开放获取政策： German Research Foundation
Free finite horizon LQR: A bilevel perspective and its application to model predictive control
A De Marchi, M Gerdts
Automatica 100, 299-311, 2019
强制性开放获取政策： US Department of Defense
Path-planning with collision avoidance in automotive industry
C Landry, M Gerdts, R Henrion, D Hömberg
System Modeling and Optimization: 25th IFIP TC 7 Conference, CSMO 2011 …, 2013
强制性开放获取政策： German Research Foundation
A novel mixed-integer programming approach for the aircraft landing problem
S Rogovs, V Nikitina, M Gerdts
Frontiers in Future Transportation 3, 968957, 2022
强制性开放获取政策： US Department of Defense
Reinforcement Learning and Optimal Control: A Hybrid Collision Avoidance Approach.
S Gottschalk, M Gerdts, M Piccinini
VEHITS, 76-87, 2024
强制性开放获取政策： Federal Ministry of Education and Research, Germany
A projected primal-dual gradient optimal control method for deep reinforcement learning
S Gottschalk, M Burger, M Gerdts
Journal of Mathematics in Industry 10, 1-22, 2020
强制性开放获取政策： Federal Ministry of Education and Research, Germany
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