Filtering of distributed parameter systems with pointwise disturbances
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Detail(s)
Original language | English |
---|---|
Pages (from-to) | 191-224 |
Journal / Publication | Applied Mathematics & Optimization |
Volume | 7 |
Issue number | 1 |
Publication status | Published - Mar 1981 |
Externally published | Yes |
Link(s)
Abstract
We consider in this article a filtering problem for a linear distributed parameter system where the input disturbances are located in points instead of being distributed. The observation process is assumed to be distributed inside the domain. Although formally one can derive equations for the Kalman filter and the Riccati equation, the complete justification of these equations leads to problems which cannot be solved by standard methods, in the sense that some new functional spaces need to be introduced. The objective of the paper is to give a rigorous treatment of this nonclassical filtering problem, which is relevant for applications. © 1981 Springer-Verlag New York Inc.
Citation Format(s)
Filtering of distributed parameter systems with pointwise disturbances. / Bensoussan, A.; Lions, J. L.
In: Applied Mathematics & Optimization, Vol. 7, No. 1, 03.1981, p. 191-224.
In: Applied Mathematics & Optimization, Vol. 7, No. 1, 03.1981, p. 191-224.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review