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A Novel Rigorous Mathematical Programming Approach to Construct Phenomenological Models

Vassiliadis, VS, Wang, Y, Yuan, Y and Arellano-Garcia, H (2015) A Novel Rigorous Mathematical Programming Approach to Construct Phenomenological Models In: 12 International Symposium on Process Systems Engineering and 25 European Symposium on Computer Aided Process Engineering, 2015-05-31 - 2015-06-04, Copenhagen, Denmark.

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The automated construction of physical laws from raw experimental measurements poses a great challenge in modern modelling and remains an open question. The work here presents a novel generalized Mixed-Integer Nonlinear Programming (MINLP) approach, which constitutes a rigorous theoretical formulation that best fits the given data. The proposal is based on the use of generic representation of analytical functions as binary evaluation trees which are Directed Acyclic Graphs (DAG) utilized to allow the construction of a superstructure out of which the optimal fitting model can be identified by solving the resulting (non-convex) MINLP problems. The trees are constructed in a way that their nodes are comprised of a linear combination of basic atomic functions, either arithmetic or unary, weighted by binary decision variables. Both single-input single-output (SISO) and multiple-input multiple-output systems are considered, as well as more complex models comprised of differential equations or even described by series summation of algebraic terms. The aim and contribution proposed methodology in this paper is to present the most general theoretical formulatioon of how models are constructed for systems quantification via analytical function forms, irrespective of the source of data. The constructed formulation is shown to contain all formulations thus far presented in the open literature, comprising a starting point either for direct fitting or for the derivation of simplified approaches.

Item Type: Conference or Workshop Item (Conference Paper)
Subjects : Chemical Engineering
Divisions : Faculty of Engineering and Physical Sciences > Chemical and Process Engineering
Authors :
Vassiliadis, VS
Wang, Y
Yuan, Y
Arellano-Garcia, H
Date : 31 May 2015
DOI : 10.1016/B978-0-444-63578-5.50113-4
Copyright Disclaimer : © 2015 Elsevier B.V. All rights reserved
Contributors :
ContributionNameEmailORCID, KV, JK, R
Uncontrolled Keywords : Directed Acyclic Graph, Function Evaluation Tree, Model Automated Construction, Mixed-Integer Nonlinear Programming
Depositing User : Symplectic Elements
Date Deposited : 30 Aug 2016 10:22
Last Modified : 31 Oct 2017 18:37

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