- Authors:
-
-
Jørgensen, John Bagterp
;
Close
0000-0001-9799-2808
Center for Energy Resources Engineering, Center, Technical University of Denmark - Frison, Gianluca ;
- Gade-Nielsen, Nicolai Fog ;
-
Dammann, Bernd
Close0000-0003-4349-6803
Department of Informatics and Mathematical Modeling, Technical University of Denmark
-
Jørgensen, John Bagterp
;
- DOI:
- 10.3182/20120823-5-NL-3013.00092
- Abstract:
- In this paper we present the extended linear quadratic control problem, its efficient solution, and a discussion of how it arises in the numerical solution of nonlinear model predictive control problems. The extended linear quadratic control problem is the optimal control problem corresponding to the Karush-Kuhn-Tucker system that constitute the majority of computational work in constrained nonlinear and linear model predictive control problems solved by efficient MPC-tailored interior-point and active-set algorithms. We state various methods of solving the extended linear quadratic control problem and discuss instances in which it arises. The methods discussed in the paper have been implemented in efficient C code for both CPUs and GPUs for a number of test examples.
- ISBN:
- 9783902823076
- Type:
- Conference paper
- Language:
- English
- Published in:
- Nonlinear Model Predictive Control, 2012, p. 187-193
- Main Research Area:
- Science/technology
- Publication Status:
- Published
- Series:
- Ifac Proceedings Volumes (ifac-papersonline)
- Review type:
- Peer Review
- Conference:
- 4th IFAC Nonlinear Model Predictive Control Conference (NMPC 2012)
- Publisher:
- International Federation of Automatic Control
- Submission year:
- 2012
- Scientific Level:
- Scientific
- ID:
- 230887219
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