On filtering in delay systems with continuous dynamics and discrete‐time observations | Zendy

Padmanabhan L. | Zendy

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On filtering in delay systems with continuous dynamics and discrete‐time observations

Author(s) -

Padmanabhan L.

Publication year - 1973

Publication title -

aiche journal

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.958

H-Index - 167

eISSN - 1547-5905

pISSN - 0001-1541

DOI - 10.1002/aic.690190315

Subject(s) - kalman filter , control theory (sociology) , filter (signal processing) , scalar (mathematics) , ensemble kalman filter , computer science , dynamics (music) , discrete time and continuous time , filtering problem , system dynamics , extended kalman filter , moving horizon estimation , mathematics , physics , acoustics , statistics , artificial intelligence , geometry , control (management) , computer vision

Filter equations for linear delay systems with continuous‐time dynamics and discrete‐time measurements are derived by separating the estimation problem into prediction between measurements and updating at a measurement. The result is the analog of the well‐known Kalman filter for the nondelay case. A computational technique for implementing the filter is indicated and illustrated by an example of a scalar system with a delay in the dynamics as well as measurement.

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