Araújo, Fábio Meneghetti Ugulino deLucena, Pedro Berretta de2014-12-172007-02-122014-12-172005-12-16LUCENA, Pedro Berretta de. Análise de um controlador baseado no Jacobiano estimado da planta através de uma rede neural. 2005. 59 f. Dissertação (Mestrado em Automação e Sistemas; Engenharia de Computação; Telecomunicações) - Universidade Federal do Rio Grande do Norte, Natal, 2005.https://repositorio.ufrn.br/jspui/handle/123456789/15399This work presents an analysis of the control law based on an indirect hybrid scheme using neural network, initially proposed for O. Adetona, S. Sathanathan and L. H. Keel. Implementations of this control law, for a level plant of second order, was resulted an oscillatory behavior, even if the neural identifier has converged. Such results had motivated the investigation of the applicability of that law. Starting from that, had been made stability mathematical analysis and several implementations, with simulated plants and with real plants, for analyze the problem. The analysis has been showed the law was designed being despised some components of dynamic of the plant to be controlled. Thus, for plants that these components have a significant influence in its dynamic, the law tends to failapplication/pdfAcesso AbertoControle InteligenteControle AdaptativoRedes NeuraisInteligência ArtificialIntelligent ControlAdaptive ControlNeural NetworksArtificial IntelligencemasterThesisCNPQ::ENGENHARIAS::ENGENHARIA ELETRICA