A software framework for embedded nonlinear model predictive control using a gradient-based augmented Lagrangian approach (GRAMPC)

Englert T, Völz A, Mesmer F, Rhein S, Graichen K (2019)

Publication Type: Journal article, Original article

Publication year: 2019

Journal

Optimization and Engineering Springer Verlag (Germany)

Book Volume: 20

Pages Range: 769-809

Journal Issue: 3

DOI: 10.1007/s11081-018-9417-2

Open Access Link: https://link.springer.com/article/10.1007/s11081-018-9417-2

Authors with CRIS profile

Andreas Völz Chair of Automatic Control Knut Graichen Chair of Automatic Control

How to cite

APA:

Englert, T., Völz, A., Mesmer, F., Rhein, S., & Graichen, K. (2019). A software framework for embedded nonlinear model predictive control using a gradient-based augmented Lagrangian approach (GRAMPC). Optimization and Engineering, 20(3), 769-809. https://dx.doi.org/10.1007/s11081-018-9417-2

MLA:

Englert, Tobias, et al. "A software framework for embedded nonlinear model predictive control using a gradient-based augmented Lagrangian approach (GRAMPC)." Optimization and Engineering 20.3 (2019): 769-809.

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