4.6 Article

Convex/concave relaxations of parametric ODEs using Taylor models

期刊

COMPUTERS & CHEMICAL ENGINEERING
卷 35, 期 5, 页码 844-857

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compchemeng.2011.01.031

关键词

Interval analysis; Taylor models; Convex relaxations; Ordinary differential equations; Global optimization; Dynamic optimization

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This paper presents a discretize-then-relax method to construct convex/concave bounds for the solutions of a wide class of parametric nonlinear ODEs. The algorithm builds upon Taylor model methods recently developed for verified solution of parametric ODEs. To enable the propagation of convex/concave state bounds, a new type of Taylor model is introduced, in which convex/concave bounds for the remainder term are computed in addition to the usual interval bounds. At each time step, a two-phase procedure is applied: a priori convex/concave bounds that are valid over the entire time step are calculated in the first phase; then, pointwise-in-time convex/concave bounds at the end of the time step are obtained in the second phase. This algorithm is implemented in an object-oriented manner using templates and operator overloading. It is demonstrated and compared to other available approaches on a selection of problems from the literature. (C) 2011 Elsevier Ltd. All rights reserved.

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