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Part of the book series: Nonconvex Optimization and Its Applications ((NOIA,volume 58))

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Abstract

This paper concerns with the problem of solving optimal control problems by means of nonlinear programming methods. The technique employed to obtain a mathematical programming problem from an optimal control problem is explained and the Newton interior-point method, chosen for its solution, is presented with special regard to the choice of the involved parameters. An analysis of the behaviour of the method is reported on four optimal control problems, related to improving water quality in an aeration process and to the study of diffusion convection processes.

Work carried out by INdAM grant at the Department of Mathematics, University of Bologna, Italy

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© 2001 Kluwer Academic Publishers

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Durazzi, C., Galligani, E. (2001). Nonlinear Programming Methods for Solving Optimal Control Problems. In: Giannessi, F., Maugeri, A., Pardalos, P.M. (eds) Equilibrium Problems: Nonsmooth Optimization and Variational Inequality Models. Nonconvex Optimization and Its Applications, vol 58. Springer, Boston, MA. https://doi.org/10.1007/0-306-48026-3_6

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  • DOI: https://doi.org/10.1007/0-306-48026-3_6

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4020-0161-1

  • Online ISBN: 978-0-306-48026-3

  • eBook Packages: Springer Book Archive

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