Multiple-Model Adaptive State Estimation of the HIV-1 Infection using a Moving Horizon Approach

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2013

Autores

Filipe R Casal (Autor) Outra; Pedro P Aguiar (Autor) FEUP; Joao M Lemos (Autor) Outra

Ata de Conferência Internacional

Título: 2013 EUROPEAN CONTROL CONFERENCE (ECC)

Páginas: 4202-4207

European Control Conference (ECC)

Zurich, SWITZERLAND, JUL 17-19, 2013

Indexação

ISI Web of Knowledge - 1 Citação

Scopus - 1 Citação

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Engenharia electrotécnica, electrónica e informática

Outras Informações

ID Authenticus: P-009-412

DOI: 10.23919/ecc.2013.6669719

Abstract (EN): This paper addresses the problem of state estimation under parametric uncertainty of discrete lumped nonlinear systems with application to the HIV-1 infection. We present an estimation algorithm using a multiple-model adaptive estimation approach with a bank of moving horizon estimators with decimated observations. This is motivated by its possible applications to the HIV-1 infection where, in practice, we are unable to observe the patient on a regular basis (non-periodic measurements) and because the HIV-1 dynamics depends on parameters unique to each patient (parameter uncertainty). We show that under reasonable assumptions, the proposed estimation algorithm is robust to parametric uncertainty and the estimation error converges to a small neighborhood of zero. The robustness and performance of the algorithm are illustrated through computer simulations.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6