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@Article{SantosRoccBoge:2015:DeLiTi,
               author = "Santos, Willer Gomes dos and Rocco, Evandro Marconi and Boge, 
                         Toralf",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {German Aerospace 
                         Center (DLR)}",
                title = "Design of a linear time-invariant control system based on a 
                         multiobjective optimization approach",
              journal = "Computational \& Applied Mathematics",
                 year = "2015",
               volume = "1",
                pages = "1--13",
             keywords = "multi-objective optimization, control system.",
             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.",
                  doi = "10.1007/s40314-015-0243-2",
                  url = "http://dx.doi.org/10.1007/s40314-015-0243-2",
                 issn = "2238-3603",
                label = "lattes: 3095429508961900 1 SantosRoccBoge:2015:DeLiTi",
             language = "en",
           targetfile = "1_santos2.pdf",
        urlaccessdate = "04 dez. 2020"
}


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