Simultaneous solution strategies for inclusion of input saturation in the optimal design of dynamically operable plants
type: Item
instance of: scholarly article
title: Simultaneous solution strategies for inclusion of input saturation in the optimal design of dynamically operable plants
zbMATH Open document ID: 1058.93022
DOI: 10.1023/B:OPTE.0000013632.20417.13
author: Rhoda Baker
author: Christopher L. E. Swartz
published in: Optimization and Engineering
publication date: 2004-08-06T00:00:00Z
review text: Recent work has considered the inclusion of input saturation in optimization-based integer plant and control system design. Young and Swartz gave two models using slack variables and involving respectively mixed-integer and bilinear constraints. Both of these formulations are relatively simple and conform to standard mathematical programming structures, but both have disadvantages in the numerical sense in solving the problems. The general integrated design and control problem is discussed here. It is represented as a minimization problem with complementarity constraints and solved by an initial point path-following algorithm. Convergence cannot be proven. The application study illustrates the viability of the approach, and it works in a reasonable amount of time.
Mathematics Subject Classification ID: 93B40
Mathematics Subject Classification ID: 93B51
Mathematics Subject Classification ID: 90C11
Mathematics Subject Classification ID: 90C33
Mathematics Subject Classification ID: 90C90
zbMATH DE Number: 2081411
zbMATH Keywords: input saturation
zbMATH Keywords: interior point method
zbMATH Keywords: optimal design
zbMATH Keywords: complementarity constraints
zbMATH Keywords: mixed-integer constraints
zbMATH Keywords: bilinear formulation
zbMATH Keywords: slack variables
reviewed by: Werner H. Schmidt
describes a project that uses: DICOPT
MaRDI profile type: Publication
full work available at URL: b:opte.0000013632.20417.13
OpenAlex ID: W2063927119
description: scientific article; zbMATH DE number 2081411