Title :
Filtering and filter sensitivity for stochastic parameter systems
Author_Institution :
University of Kansas, Lawrence, KS, USA
fDate :
6/1/1971 12:00:00 AM
Abstract :
This paper derives a suboptimal filter for systems having one or more stochastic parameters. Further, a sensitivity of the filter estimate error with respect to stochastic system parameters is defined. Equations suitable for digital computer solution are derived and an example is given to illustrate the application of the filter and sensitivity results to a stochastic parameter system.
Keywords :
Linear systems, stochastic continuous-time; State estimation; Computer errors; Covariance matrix; Differential equations; Filtering; Filters; Noise measurement; Stochastic processes; Stochastic resonance; Stochastic systems; White noise;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.1971.1099711