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The non-parameter penalty function method in constrained optimal control problems
- Source :
- Journal of Applied Mathematics and Stochastic Analysis, Vol 4, Iss 2, Pp 165-173 (1991)
- Publication Year :
- 1991
- Publisher :
- Hindawi Publishing Corporation, 1991.
-
Abstract
- This paper is concerned with the generalization, numerical implementation and testing of the non-parameter penalty function algorithm which was initially developed for solving n-dimensional optimization problems. It uses this method to transform a constrained optimal control problem into a sequence of unconstrained optimal control problems. It is shown that the solutions to the original constrained problem. Convergence results are proved both theoretically and numerically.
- Subjects :
- Computer Science::Machine Learning
Statistics and Probability
Mathematical optimization
Optimization problem
non-parameter penalty function
Computer Science::Digital Libraries
Statistics::Machine Learning
symbols.namesake
Convergence (routing)
Penalty method
lcsh:Science
Mathematics
Sequence
Augmented Lagrangian method
lcsh:Mathematics
Applied Mathematics
sequence of unconstrained problems
Constrained optimization
lcsh:QA1-939
Optimal control
transform
Lagrangian relaxation
Modeling and Simulation
Computer Science::Mathematical Software
symbols
lcsh:Q
constrained optimal control
Subjects
Details
- Language :
- English
- ISSN :
- 10489533
- Database :
- OpenAIRE
- Journal :
- Journal of Applied Mathematics and Stochastic Analysis
- Accession number :
- edsair.doi.dedup.....9a4103aca33330bdd4cd1132bf2f4c0e
- Full Text :
- https://doi.org/10.1155/S1048953391000138