Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/85677
Type: Artigo de periódico
Title: Gradient-based Optimization Techniques For The Design Of Static Controllers For Markov Jump Linear Systems With Unobservable Modes
Author: Vargas A.N.
Bortolin D.C.
Costa E.F.
do Val J.B.
Abstract: The paper formulates the static control problem of Markov jump linear systems, assuming that the controller does not have access to the jump variable. We derive the expression of the gradient for the cost motivated by the evaluation of 10 gradient-based optimization techniques. The numerical efficiency of these techniques is verified by using the data obtained from practical experiments. The corresponding solution is used to design a scheme to control the velocity of a real-time DC motor device subject to abrupt power failures. © 2014 John Wiley & Sons, Ltd.
Editor: 
Rights: fechado
Identifier DOI: 10.1002/jnm.1981
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-84894795655&partnerID=40&md5=75a3bb1159f3e152d1f01dddb237942d
Date Issue: 2014
Appears in Collections:Unicamp - Artigos e Outros Documentos

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.