CONTROLE DE CAOS NO MODELO NEURONAL DE HINDMARSH-ROSE COM PARÂMETROS INCERTOS

Autores

  • Raildo Santos de Lima Universidade Federal de Mato Grosso Do Sul – UFMS
  • Fabio Roberto Chavarette UNESP

Palavras-chave:

Caos, Parâmetros Incertos, Controle Ótimo

Resumo

Na bioengenharia existe uma grande motivação no estudo do modelo neuronal de Hindmarsh-Rose (HR) pelo fato de ser bem representativo ao neurônio biológico podendo, assim, simular vários comportamentos de um neurônio real, dentre eles, o comportamento periódico, aperiódico e caótico. Baseado neste modelo, este artigo propõe a aplicação do projeto de controle linear ótimo ao comportamento incerto e caótico estabelecidos por modificações nos parâmetros do sistema. Para tanto, apresenta-se o sistema matemático do modelo RH e seu comportamento caótico e posteriormente modificam-se os parâmetros fixos para incertos e investiga-se a dinâmica caótica do sistema. Finalizando, propõe-se a aplicação do controle linear ótimo como método para controlar o comportamento caótico do modelo onde as simulações numéricas são apresentadas para demonstrar a eficácia desta proposta.

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Publicado

2021-02-23

Como Citar

Lima, R. S. de, & Chavarette, F. R. (2021). CONTROLE DE CAOS NO MODELO NEURONAL DE HINDMARSH-ROSE COM PARÂMETROS INCERTOS. Colloquium Exactarum. ISSN: 2178-8332, 12(4), 38–45. Recuperado de http://journal.unoeste.br/index.php/ce/article/view/3835