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Proceedings of the 16th Conference on Computer Science and Intelligence Systems

Annals of Computer Science and Information Systems, Volume 25

A shortened time horizon approach for optimization with differential-algebraic constraints

DOI: http://dx.doi.org/10.15439/2021F47

Citation: Proceedings of the 16th Conference on Computer Science and Intelligence Systems, M. Ganzha, L. Maciaszek, M. Paprzycki, D. Ślęzak (eds). ACSIS, Vol. 25, pages 211–215 ()

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Abstract. In this work a new numerical optimization scheme based on  shortened time horizon approach was designed. The shortened time horizon strategy has never been presented or tested numerically. The new methodology was applied for single objective optimization task subject to a system of nonlinear differential-algebraic (DAEs) constraints. The new solution procedure is based on two main parts: i) designing of an alternative differential-algebraic constraints, ii) parametrization of a new constraints system by the multiple shooting approach and further simulation of the alternative system independently on small subintervals. The presented algorithm was used to solve optimization task of fed-batch reactor operation.

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