DocumentCode
1894301
Title
Algebraic Methods for Function Reconstruction: Application to System Identification
Author
Djaferis, Theodore E.
Author_Institution
Electr. & Comput. Eng., Massachusetts Univ., Amherst, MA
fYear
2006
fDate
28-30 June 2006
Firstpage
1
Lastpage
6
Abstract
We consider functions that have a known structure but involve a number of unknown parameters. Specifically, we consider classes of functions that involve sums of exponential terms. The values of the function and some of its derivatives are given at a finite number of points and it is of interest to uniquely reconstruct the function from the given data. In this paper we consider this problem and suggest algebraic methods of solution. We also show how these methods can be used as the basis of algorithms for system identification. The methods are simple, mathematically rigorous and analytical in nature. In the case of low order systems they can be very easily presented and executed. These attributes make the techniques very appealing for introductory treatments of the subject matter for students in systems and control
Keywords
algebra; functions; identification; algebraic method; exponential sum; function reconstruction; low order system; system identification; Control systems; Extraterrestrial phenomena; Interpolation; Mathematics; Meteorological radar; Meteorology; Sampling methods; Sensor phenomena and characterization; Spaceborne radar; System identification;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Automation, 2006. MED '06. 14th Mediterranean Conference on
Conference_Location
Ancona
Print_ISBN
0-9786720-1-1
Electronic_ISBN
0-9786720-0-3
Type
conf
DOI
10.1109/MED.2006.328875
Filename
4125014
Link To Document