A parallel quadratic programming method for dynamic optimization problems

From MaRDI portal
Publication:499159

DOI10.1007/s12532-015-0081-7zbMath1321.90094OpenAlexW1971930153MaRDI QIDQ499159

Janick V. Frasch, Moritz Diehl, Sebastian Sager

Publication date: 30 September 2015

Published in: Mathematical Programming Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s12532-015-0081-7




Related Items (19)

\texttt{acados} -- a modular open-source framework for fast embedded optimal controlRecent advances in quadratic programming algorithms for nonlinear model predictive controlFBstab: a proximally stabilized semismooth algorithm for convex quadratic programmingALADIN‐—An open‐source MATLAB toolbox for distributed non‐convex optimizationA combined first‐ and second‐order approach for model predictive controlInexact Newton-Type Optimization with Iterated SensitivitiesLifted collocation integrators for direct optimal control in ACADO toolkitA Sparsity Preserving Convexification Procedure for Indefinite Quadratic Programs Arising in Direct Optimal ControlNumerical Structure of the Hessian of the Lagrange Dual Function for a Class of Convex ProblemsMulti-level iterations for economic nonlinear model predictive controlDistributed optimization and control with ALADINSolving nearly-separable quadratic optimization problems as nonsmooth equationsA parallel Newton-type method for nonlinear model predictive controlNewton projection with proportioning using iterative linear algebra for model predictive control with long prediction horizonMultiple Shooting in a MicrosecondFrom linear to nonlinear MPC: bridging the gap via the real-time iterationAn Augmented Lagrangian Based Algorithm for Distributed NonConvex OptimizationqpDUNESParNMPC – a parallel optimisation toolkit for real-time nonlinear model predictive control


Uses Software


Cites Work


This page was built for publication: A parallel quadratic programming method for dynamic optimization problems