H
Hans Georg Bock
Researcher at Interdisciplinary Center for Scientific Computing
Publications - 208
Citations - 10229
Hans Georg Bock is an academic researcher from Interdisciplinary Center for Scientific Computing. The author has contributed to research in topics: Optimal control & Model predictive control. The author has an hindex of 39, co-authored 208 publications receiving 9106 citations. Previous affiliations of Hans Georg Bock include University of Bonn & Heidelberg University.
Papers
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Journal ArticleDOI
A Multiple Shooting Algorithm for Direct Solution of Optimal Control Problems
Hans Georg Bock,K.J. Plitt +1 more
TL;DR: A condensing algorithm for the solution of the approximating linearly constrained quadratic subproblems, and high rank update procedures are introduced, which are especially suited for optimal control problems and lead to significant improvements of the convergence behaviour and reductions of computing time and storage requirements.
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qpOASES: a parametric active-set algorithm for quadratic programming
TL;DR: The open-source C++ software package qpOASES is described, which implements a parametric active-set method in a reliable and efficient way and can be used to compute critical points of nonconvex QP problems.
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An online active set strategy to overcome the limitations of explicit MPC
TL;DR: In this paper, an online active set strategy for the fast solution of parametric quadratic programs arising in MPC is presented, which exploits solution information of the previous QP under the assumption that the active set does not change much from one QP to the next.
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A Real-Time Iteration Scheme for Nonlinear Optimization in Optimal Feedback Control
TL;DR: The robustness and excellent real-time performance of the method is demonstrated in a numerical experiment, the control of an unstable system, namely, an airborne kite that shall fly loops.
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An efficient multiple shooting based reduced SQP strategy for large-scale dynamic process optimization. Part 1: theoretical aspects
TL;DR: A tailored simultaneous solution strategy based on multiple shooting and reduced SQP is presented, which allows an efficient and robust solution of multistage optimal control and design optimization problems for large, sparse DAE process models of index one.