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Conversion of Optimal Control Problems into Parameter Optimization Problems
Abstract
Several methods exist for converting optimal control problems into parameter optimization problems. Numerical integration, collocation, direct transcription, and differential inclusion are examples of these conversion methods. Because of the similarities of these methods, they are categorized in this paper by their numerical integration technique, the order of the integration technique, and the unknowns of the parameter optimization problem. The integration techniques are divided into explicit and implicit approaches, and the unknowns are some combination of design parameters, control parameters, and state parameters. The method called numerical integration has the controls as unknowns and uses explicit integration. Collocation and direct transcription have the controls and states as unknowns and use implicit integration. Differential inclusion has the states as unknowns and uses implicit integration. (Author)
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Research works printed but not linked: 10
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- 10.2514/3.20223 · DOI · Paper page
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Cited by
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Metadata
- Authors
- Hull, D. G.
- Venue
- Journal of Guidance, Control, and Dynamics
- Published
- 1997-01
- Volume
- 20
- Issue
- 1
- Pages
- 57-60
- ISSN
- 0731-5090 (ISSN-L)
- 1533-3884
- OpenAlex
- W1991554046
- Cited by
- 351
- References
- 0
- FWCI
- 11.53
- Type
- journal article
- Language
- en
- Open access
- closed
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- Hull, D. G. (1997). Conversion of Optimal Control Problems into Parameter Optimization Problems. Journal of Guidance, Control, and Dynamics. https://doi.org/10.2514/2.4033
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