| Texto completo | |
| Autor(es): |
Mitschka, Christoph M.
;
Terra, Marco H.
;
Siqueira, Adriano A. G.
;
IEEE
Número total de Autores: 4
|
| Tipo de documento: | Artigo Científico |
| Fonte: | 2017 AMERICAN CONTROL CONFERENCE (ACC); v. N/A, p. 6-pg., 2017-01-01. |
| Resumo | |
Markovian theory found its application in plenty of areas where control strategies are taken advantage of. However in rehabilitation robotics, which are safety critical applications, such strategies are not a common practice. This paper shows the potential of Markovian theory applied in rehabilitation robotics and proposes two different approaches for a development of such type of control strategies. This work proposes a variable control strategy driven by a Markovian decision process of which one contains off-line calculated gains using linear matrix Inequalities techniques for computation and a recursive on-line controller based on robust linear quadratic regulators. (AU) | |
| Processo FAPESP: | 12/14074-3 - Fusão de sensores e regulação de sistemas robóticos para reabilitação via filtragem robusta e controle Markoviano |
| Beneficiário: | Christoph Michael Mitschka |
| Modalidade de apoio: | Bolsas no Brasil - Doutorado Direto |