A convex approach for the design of a guaranteed H-infinity nonlinear filter
Carregando...
Data
Título da Revista
ISSN da Revista
Título de Volume
Editor
Universidade Federal de Minas Gerais
Descrição
Tipo
Artigo de evento
Título alternativo
Primeiro orientador
Membros da banca
Resumo
The state estimation of linear systems has well-established approaches in the literature, whereas, for nonlinear systems, several methodologies have been proposed to overcome the various difficulties encountered in obtaining a sub-optimal solution, according to some criterion. This work presents a nonlinear filter approach that guarantees robustness to unknown exogenous signals. The methodology consists of treating the incompatibility of unmeasurable nonlinearities, present in the model, in a convex way. With this representation, it is possible to derive conditions based on convex optimization, by means of Linear Matrix Inequalities (LMIs), to achieve the design objectives. The example illustrates the preliminary results of the proposed methodology.
Abstract
Assunto
Sistemas não lineares
Palavras-chave
Nonlinear Systems, Linear Matrix Inequalities, Nonlinear Filter, Robustness to Noise, Norm H-infinity
Citação
Departamento
Curso
Endereço externo
https://www.sba.org.br/open_journal_systems/index.php/sbai/article/view/3903