Título: Observador Adaptativo Estável Usando Redes Neurais Artificiais
Autores: Vargas, José Alfredo Ruiz; Hemerly, Elder Moreira
Resumo: In this paper, an adaptive observer for multivariable nonlinear systems that present an unknown general state equation and known linear output equation is developed. The observer is based on linearly parameterized neural networks and Lyapunov methods are used for stability analysis. We consider a more general class of systems than in previous works and the usual SPR (strictly positive real) assumption is not required here.
Artigo em pdf: 4cbrn_022.pdf
Arquivo BibTex: 4cbrn_022.bib