The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
ACADO toolkit—An open‐source framework for automatic control and dynamic optimization
Abstract
In this paper the software environment and algorithm collection ACADO Toolkit is presented, which implements tools for automatic control and dynamic optimization. It provides a general framework for using a great variety of algorithms for direct optimal control, including model predictive control as well as state and parameter estimation. The ACADO Toolkit is implemented as a self‐contained C++ code, while the object‐oriented design allows for convenient coupling of existing optimization packages and for extending it with user‐written optimization routines. We discuss details of the software design of the ACADO Toolkit 1.0 and describe its main software modules. Along with that we highlight a couple of algorithmic features, in particular its functionality to handle symbolic expressions. The user‐friendly syntax of the ACADO Toolkit to set up optimization problems is illustrated with two tutorial examples: an optimal control and a parameter estimation problem. Copyright © 2010 John Wiley & Sons, Ltd.
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Cites
Computer Methods for Ordinary Differential Equations and Differential-Algebraic Equations
Ascher, U. M., & Petzold, L. R. (1998) · doi:10.1137/1.9781611971392 · Cited by 2,403 · cited 1×
“Note that the ACADO BDF integrator, which is based on the algorithmic ideas in [5, 6, 27], can also deal with fully implicit differential algebraic equations of index 1, which have the form”
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Metadata
- Authors
- Houska, B., Ferreau, H. J., & Diehl, M.
- Venue
- Optimal Control Applications and Methods
- Publisher
- Wiley
- Published
- 2011-05
- Volume
- 32
- Issue
- 3
- Pages
- 298-312
- ISSN
- 0143-2087 (ISSN-L)
- 1099-1514
- OpenAlex
- W1977164425
- Cited by
- 984
- References
- 1
- FWCI
- 59.48
- Type
- journal article
- Language
- en
- Open access
- closed
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- Houska, B., Ferreau, H. J., & Diehl, M. (2011). ACADO toolkit—An open‐source framework for automatic control and dynamic optimization. Optimal Control Applications and Methods. https://doi.org/10.1002/oca.939
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