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Improving the state estimation for optimal control of stochastic processes subject to multiplicative noise
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Document type | Article de périodique (Journal article) – Article de recherche |
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Access type | Accès libre |
Publication date | 2011 |
Language | Anglais |
Journal information | "Automatica : A Journal of IFAC, the International Federation of Automatic Control" - Vol. 47, no. 3, p. 591-596 (2011) |
Peer reviewed | yes |
Publisher | Pergamon Press, 1963- (Oxford ; Elmsford, N.Y.) |
issn | 0005-1098 |
Publication status | Publié |
Affiliations |
Université Catholique de Louvain (BE)
- Centre for systems engineering and applied mechanics Universtié de Liège (BE) - Department of Electrical Engineering and Computer Science UCL - SSS/IONS/COSY - Systems & cognitive Neuroscience UCL - SSS/IONS - Institute of NeuroScience UCL - AGRO/BAPA - Département de biologie appliquée et des productions agricoles UCL - SST/ICTM/INMA - Pôle en ingénierie mathématique UCL - (SLuc) Service de médecine physique et de réadaptation motrice |
Keywords | Optimal control ; State estimation ; Multiplicative noise ; Stochastic process ; Motor control |
Links |
Bibliographic reference | Crevecoeur, Frédéric ; Sepulchre, R. J. ; Thonnard, Jean-Louis ; Lefèvre, Philippe. Improving the state estimation for optimal control of stochastic processes subject to multiplicative noise. In: Automatica : A Journal of IFAC, the International Federation of Automatic Control, Vol. 47, no. 3, p. 591-596 (2011) |
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Permanent URL | http://hdl.handle.net/2078.1/74021 |