DocumentCode :
3425436
Title :
System identification using Laguerre functions: simple examples
Author :
Olivier, Philip D.
Author_Institution :
Dept. of Electr. & Comput. Eng., Mercer Univ., Macon, GA, USA
fYear :
1997
fDate :
9-11 Mar 1997
Firstpage :
457
Lastpage :
459
Abstract :
A system identification technique based on Laguerre series expansions of filtered input/output data is briefly summarized. Some simple examples are presented that demonstrate the power of the technique. The examples verify that the procedure works well for lightly damped (i.e. flexible) systems, for MIMO systems as well as SISO systems, and that non positive real systems pose no problems
Keywords :
MIMO systems; identification; series (mathematics); stochastic processes; Laguerre functions; Laguerre series expansions; MIMO systems; SISO systems; filtered input/output data; lightly damped systems; non positive real systems; system identification technique; Adaptive control; Computer aided software engineering; Deconvolution; Equations; Fault detection; Flexible structures; Frequency domain analysis; MIMO; System identification; Transfer functions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Theory, 1997., Proceedings of the Twenty-Ninth Southeastern Symposium on
Conference_Location :
Cookeville, TN
ISSN :
0094-2898
Print_ISBN :
0-8186-7873-9
Type :
conf
DOI :
10.1109/SSST.1997.581706
Filename :
581706
Link To Document :
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