On the Linear-Exponential Filtering Problem for General Gaussian Processes

Autor: A. Le Breton, M. Viot, Marina Kleptsyna
Přispěvatelé: Département de Mathématiques [Le Mans], Le Mans Université (UM), Statistique et Modélisation Stochatisque (SMS), Laboratoire Jean Kuntzmann (LJK), Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)
Rok vydání: 2009
Předmět:
Zdroj: CDC
CDC 2009-48th IEEE Conference on Decision and Control
CDC 2009-48th IEEE Conference on Decision and Control, Dec 2009, Shanghai, China. pp.2646-2651, ⟨10.1109/CDC.2009.5400249⟩
SIAM Journal on Control and Optimization
SIAM Journal on Control and Optimization, Society for Industrial and Applied Mathematics, 2008, 47 (6), pp.2886-2911. ⟨10.1137/070705908⟩
ISSN: 1095-7138
0363-0129
DOI: 10.1137/070705908
Popis: International audience; The explicit solution of the filtering problem with exponential criteria for a general Gaussian signal is obtained through an approach which is based on a conditional Cameron-Martin-type formula. This key formula is derived for conditional expectations of exponentials of some quadratic functionals of a general continuous Gaussian process. The formula involves conditional expectations and conditional covariances in some auxiliary optimal risk-neutral filtering problem which is used in the proof. Closed form equations of the Itô-Volterra- and Riccati-Volterra-types for these ingredients are provided. Particular cases for which the results can be further elaborated are investigated.
Databáze: OpenAIRE