Summary: Alexander G. Parlos
Department of Mechanical Engineering,
Texas A&M University,
College Station, TX 77843
e-mail: a-parlos@tamu.edu
Sunil K. Menon
Honeywell Technology Center,
3660 Technology Drive,
MN65-2500, Minneapolis, MN 55418
e-mail: sunil@htc.honeywell.com
Amir F. Atiya
Department of Electrical Engineering,
California Institute of Technology,
MS 136-93, Pasadena, CA 91125
e-mail: amir@work.caltech.edu
An Adaptive State Filtering
Algorithm for Systems With
Partially Known Dynamics
On-line filtering of stochastic variables that are difficult or expensive to directly measure
has been widely studied. In this paper a practical algorithm is presented for adaptive state

Source: Abu-Mostafa, Yaser S. - Department of Mechanical Engineering & Computer Science Department, California Institute of Technology
Parlos, Alexander - Department of Mechanical Engineering, Texas A&M University

Collections: Computer Technologies and Information Sciences; Engineering