Rien Quirynen
Control and Systems Engineering · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Control and Systems Engineering — 25 citations into it
- Numerical Analysis — 24 citations into it
- Computational Theory and Mathematics — 12 citations into it
- Aerospace Engineering — 7 citations into it
- Computational Mechanics — 6 citations into it
- Optimization & Training — 5 citations into it
Whom Rien Quirynen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Moritz Diehl
- Toshiyuki Ohtsuka
- David Q. Mayne
- Jorge Nocedal
- Hans Joachim Ferreau
- Andreas Griewank
- Hans Georg Bock
- Ernst Hairer
Papers from Rien Quirynen's perspective
Ordered by how strongly the researchers Rien Quirynen trusts endorse each paper. Same corpus, a different order for every researcher.
- Real-time optimization and nonlinear model predictive control of processes governed by differential-algebraic equations
- A Real-Time Iteration Scheme for Nonlinear Optimization in Optimal Feedback Control (SIAM Journal of Control and Optimization)
- A continuation/GMRES method for fast computation of nonlinear receding horizon control (at - Automatisierungstechnik)
- ACADO toolkit—An open‐source framework for automatic control and dynamic optimization
- Real-Time Optimization for Large Scale Nonlinear Processes
- Nominal stability of real-time iteration scheme for nonlinear model predictive control
- Evaluating derivatives - principles and techniques of algorithmic differentiation, Second Edition
- Numerical Optimization (Springer Series in Operations Research and Financial Engineering)
- ECOS: An SOCP solver for embedded systems
- Efficient interior point methods for multistage problems arising in receding horizon control (IEEE Conference on Decision and Control)
Their papers
- From linear to nonlinear MPC: bridging the gap via the real-time iteration (2020) — 351 citations
- acados—a modular open-source framework for fast embedded optimal control (2019) — 616 citations