Title :
The reduced-order filter for singular system with unknown inputs
Author_Institution :
Dept. of Math., Suzhou Univ. of Sci. & Technol., Suzhou
Abstract :
For the general discrete stochastic singular system with unknown inputs, the unbiased reduced-order filter is designed by applying the techniques of matrix decomposition and coordinate transformation.
Keywords :
discrete systems; matrix decomposition; reduced order systems; stochastic systems; coordinate transformation; discrete stochastic singular system; matrix decomposition; reduced-order filter; Chemical analysis; Cybernetics; Electronic mail; Filters; Machine learning; Mathematics; Matrix decomposition; Robot kinematics; Robot sensing systems; Stochastic systems; Filter; Singular system; Stochastic system; unknown input;
Conference_Titel :
Machine Learning and Cybernetics, 2008 International Conference on
Print_ISBN :
978-1-4244-2095-7
Electronic_ISBN :
978-1-4244-2096-4
DOI :
10.1109/ICMLC.2008.4620809
