Sarkar, Debasis and Modak, Jayant M (2003) ANNSA: a hybrid artificial neural network/simulated annealing algorithm for optimal control problems. In: Chemical Engineering Science, 58 (14). pp. 3131-3142.
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This paper introduces a numerical technique for solving nonlinear optimal control problems. The universal function approximation capability of a three-layer feedforward neural network has been combined with a simulated annealing algorithm to develop a simple yet e5cient hybrid optimisation algorithm to determine optimal control proles. The applicability of the technique is illustrated by solving various optimal control problems including multivariable nonlinear problems and free nal time problems. Results obtained for the di6erent case studies considered agree well with those reported in the literature.
|Item Type:||Journal Article|
|Additional Information:||Copyright of this article belongs to Elsevier Science.|
|Keywords:||Neural networks;Simulated annealing;Optimisation;Control; Bioreactors;Chemical reactors|
|Department/Centre:||Division of Mechanical Sciences > Chemical Engineering|
|Date Deposited:||03 Dec 2008 15:33|
|Last Modified:||08 Jul 2011 11:20|
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