DocumentCode
274659
Title
Optimal filtering and Kalman filtering using MATLAB
Author
Smith, P.R. ; Dailly, C.
Author_Institution
R. Aerosp. Establ., Bedford, UK
fYear
1991
fDate
25-28 Mar 1991
Firstpage
734
Abstract
The aim of this paper is to illustrate the ease with which data recorded from a complex nonlinear system can be processed using the MATLAB package, employing sophisticated state-space filtering methods. No new theory is presented, but to aid the reader the MATLAB code is provided which can be used for any application, as well as to illustrate the example shown, in a manner amenable to most practicing engineers. The example is based upon an aircraft engine, and shows data collected from flight and the linear system upon which the filter characteristics depend
Keywords
Kalman filters; State estimation; aerospace computing; nonlinear systems; software packages; state estimation; state-space methods; Kalman filtering; MATLAB; aerospace computing; aircraft engine; nonlinear system; observer; state estimation; state-space;
fLanguage
English
Publisher
iet
Conference_Titel
Control 1991. Control '91., International Conference on
Conference_Location
Edinburgh
Print_ISBN
0-85296-509-5
Type
conf
Filename
98539
Link To Document