A solving tool for fuzzy quadratic optimal control problems

Silvio Giove and Paolo Bortot ()
Additional contact information
Paolo Bortot: Department of Applied Mathematics, University of Venice

No 148, Working Papers from Department of Applied Mathematics, Università Ca' Foscari Venezia

Abstract: In this paper we propose an iterative method to solve an optimal control problem, with fuzzy target and constraints. The algorithm is developed in such a way as to satisfy the target function and the constraints. The algorithm can be applied only if a method exists to solve a crisp parametric sub-problem obtained by the original one. This is the case for a quadratic-linear target function with linear constraints, for which some well established solvable methods exist for the crisp associated sub-problem. A numerical test confirmed the good convergence properties.

Keywords: fuzzy; mathematical programming (search for similar items in EconPapers)
JEL-codes: C6 (search for similar items in EconPapers)
Pages: 13 pages
Date: 2006-11
New Economics Papers: this item is included in nep-cmp
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://virgo.unive.it/wpideas/storage/2006wp148.pdf (application/pdf)
Our link check indicates that this URL is bad, the error code is: 500 Can't connect to virgo.unive.it:80 (A connection attempt failed because the connected party did not properly respond after a period of time, or established connection failed because connected host has failed to respond.)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:vnm:wpaper:148

Access Statistics for this paper

More papers in Working Papers from Department of Applied Mathematics, Università Ca' Foscari Venezia Contact information at EDIRC.
Bibliographic data for series maintained by Daria Arkhipova ().