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		<doi>10.1007/s40314-015-0243-2</doi>
		<issn>2238-3603</issn>
		<label>lattes: 3095429508961900 1 SantosRoccBoge:2015:DeLiTi</label>
		<citationkey>SantosRoccBoge:2015:DeLiTi</citationkey>
		<title>Design of a linear time-invariant control system based on a multiobjective optimization approach</title>
		<year>2015</year>
		<typeofwork>journal article</typeofwork>
		<secondarytype>PRE PN pi</secondarytype>
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		<author>Santos, Willer Gomes dos,</author>
		<author>Rocco, Evandro Marconi,</author>
		<author>Boge, Toralf,</author>
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		<group>DSE-ETE-INPE-MCTI-GOV-BR</group>
		<group>DMC-ETE-INPE-MCTI-GOV-BR</group>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>German Aerospace Center (DLR)</affiliation>
		<electronicmailaddress>willer.gomes@inpe.br</electronicmailaddress>
		<electronicmailaddress>evandro.rocco@inpe.br</electronicmailaddress>
		<electronicmailaddress>toralf.boge@dlr.de</electronicmailaddress>
		<journal>Computational and Applied Mathematics</journal>
		<volume>1</volume>
		<pages>1-13</pages>
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		<keywords>multi-objective optimization, control system.</keywords>
		<abstract>This paper explores the optimal design problem of a linear time-invariant control system composed of three different types of linear parallel actuators. The actuators time constants have been defined to achieve a conflicting behavior among the transient response provided by them. Thus, a novel solution has been proposed to find the best selection of actuators gains to improve the performance parameters. Such methodology is based on a discrete multiobjective optimization technique. The transfer functions, as well as the transient response, have been derived and evaluated throughout this work. In addition, the stability conditions have been analyzed for a range of closed-loop poles and zeros. The discrete multiobjective optimization problem is formulated with a couple of objective functions: overshoot and settling time of the closed-loop response. A decision-making method has been used to find the best compromise solution from a group of candidate solutions. The results have indicated that a better performance can be achieved with a systematic multiobjective optimization methodology.</abstract>
		<area>ETES</area>
		<language>en</language>
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