Título: Controle Neural Robusto de Sistemas Não-Lineares Gerais
Autores: Vargas, José Alfredo Ruiz; Hemerly, Elder Moreira
Resumo: This paper addresses the output feedback control of general unknown nonlinear systems. The controller is based on the linearity of the neural networks weights and Lyapunov methods are used in order to guarantee that all closed-loop signals are bounded. Only mild assumptions on the unknown system are imposed: the unknown vectorfields are continuous with respect to their arguments and satisfy a local Lipschitz condition.
Código DOI: 10.21528/CBRN2001-093
Artigo em pdf: 5cbrn_093.pdf
Arquivo BibTex: 5cbrn_093.bib