A hybrid optimization method for constrained optimal control problem
A new hybrid algorithm by integrating a nested partitions (NP) method with successive quadratic programming (SQP) is presented for global optimization of general optimal control problems involving lumped parameter system. The control parameterization technique first employed to reduce the control pr...
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IOSR Journals
2012
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my.utm.303962019-07-25T05:25:10Z http://eprints.utm.my/id/eprint/30396/ A hybrid optimization method for constrained optimal control problem Banitalebi, Akbar Abd. Aziz, Mohd. Ismail Ahmad, Rohanin QA Mathematics A new hybrid algorithm by integrating a nested partitions (NP) method with successive quadratic programming (SQP) is presented for global optimization of general optimal control problems involving lumped parameter system. The control parameterization technique first employed to reduce the control problem into a parameter selection problem. Then, in the global phase a vicinity of global optimizer is approximated by an appropriate NP method. Subsequently, the SQP algorithm in the local phase promotes the accuracy of final solution. The effectiveness of the hybrid NP–SQP algorithm is also illustrated by means of numerical simulations. IOSR Journals 2012-05 Article PeerReviewed Banitalebi, Akbar and Abd. Aziz, Mohd. Ismail and Ahmad, Rohanin (2012) A hybrid optimization method for constrained optimal control problem. IOSR Journal of Mathematics (IOSRJM), 1 (2). pp. 38-41. ISSN 2278-5728 http://dx.doi.org/10.9790/5728-0213741 DOI:10.9790/5728-0213741 |
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QA Mathematics Banitalebi, Akbar Abd. Aziz, Mohd. Ismail Ahmad, Rohanin A hybrid optimization method for constrained optimal control problem |
| description |
A new hybrid algorithm by integrating a nested partitions (NP) method with successive quadratic programming (SQP) is presented for global optimization of general optimal control problems involving lumped parameter system. The control parameterization technique first employed to reduce the control problem into a parameter selection problem. Then, in the global phase a vicinity of global optimizer is approximated by an appropriate NP method. Subsequently, the SQP algorithm in the local phase promotes the accuracy of final solution. The effectiveness of the hybrid NP–SQP algorithm is also illustrated by means of numerical simulations. |
| format |
Article |
| author |
Banitalebi, Akbar Abd. Aziz, Mohd. Ismail Ahmad, Rohanin |
| author_facet |
Banitalebi, Akbar Abd. Aziz, Mohd. Ismail Ahmad, Rohanin |
| author_sort |
Banitalebi, Akbar |
| title |
A hybrid optimization method for constrained optimal control problem |
| title_short |
A hybrid optimization method for constrained optimal control problem |
| title_full |
A hybrid optimization method for constrained optimal control problem |
| title_fullStr |
A hybrid optimization method for constrained optimal control problem |
| title_full_unstemmed |
A hybrid optimization method for constrained optimal control problem |
| title_sort |
hybrid optimization method for constrained optimal control problem |
| publisher |
IOSR Journals |
| publishDate |
2012 |
| url |
http://eprints.utm.my/id/eprint/30396/ http://dx.doi.org/10.9790/5728-0213741 |
| _version_ |
1643648543003508736 |
| score |
13.251813 |