A MoliZoft System Identification Approach of the Just Walk Data

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2017

Autores

P. Lopes dos Santos (Autor) FEUP; Freigoun, MT (Autor) Outra; Rivera, DE (Autor) Outra; Hekler, EB (Autor) Outra; Martin, CA (Autor) Outra; Romano, R (Autor) Outra; Perdicoulis, TP (Autor) Outra; Ramos, JA (Autor) Outra

Ata de Conferência Internacional

Título: IFAC PAPERSONLINE

20th World Congress of the International-Federation-of-Automatic-Control (IFAC)

Toulouse, FRANCE, JUL 09-14, 2017

Indexação

ISI Web of Knowledge - 2 Citações

Scopus - 2 Citações

Outras Informações

ID Authenticus: P-00N-KXR

DOI: 10.1016/j.ifacol.2017.08.2060

Abstract (EN): A system identification approach is used estimate linear time invariant models from the data of physical activity gathered in the Just Walk intervention conducted by the Designing Health Lab and the Control Systems Laboratory at Arizona State University A class of identification algorithms proposed elsewhere by one of the authors, denoted as MoliZoft, was reformulated and adapted to estimate models from data gathered in this experience. In this paper, the identification algorithms are described and the best models estimated for a particular participant are analysed and used to improve the results in future experiments.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6