Gauss–Newton Runge–Kutta integration for efficient discretization of optimal control problems with long horizons and least-squares costs

Author:

Frey JonathanORCID,Baumgärtner KatrinORCID,Diehl MoritzORCID

Funder

Deutsche Forschungsgemeinschaft

European Commission

Bundesministerium für Wirtschaft und Klimaschutz

European Geosciences Union

Publisher

Elsevier BV

Reference26 articles.

1. A dual active-set solver for embedded quadratic programming using recursive LDLT updates;Arnstrom;IEEE Transactions on Automatic Control,2022

2. Controlling the level of sparsity in MPC;Axehill;Systems & Control Letters,2015

3. Baumgärtner, K., & Diehl, M. (2022). The Extended Gauss-Newton Method for Nonconvex Loss Functions and its Application to Time-Optimal Model Predictive Control. In Proceedings of the American control conference.

4. Recent advances in parameter identification techniques for ODE;Bock,1983

5. A multiple shooting algorithm for direct solution of optimal control problems;Bock,1984

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