DocumentCode
1684893
Title
On-line identification of nonlinear systems using adaptive matching pursuit
Author
Shmilovici, Armin ; Maimon, Oded
Author_Institution
Dept. of Manuf. Eng., Boston Univ., MA, USA
fYear
1996
Firstpage
499
Lastpage
502
Abstract
A reduced complexity algorithm, which is an adaptive version of the matching pursuit algorithm, is proposed for the identification of nonlinear systems. The algorithm is demonstrated on various nonlinear systems presented in the literature. The results are favorable compared to other nonlinear identification methods (e.g neural nets). It is demonstrated that the algorithm could be used for the design of adaptive controllers
Keywords
adaptive control; adaptive filters; adaptive signal processing; computational complexity; identification; nonlinear control systems; adaptive controllers; adaptive matching pursuit; matching pursuit algorithm; nonlinear systems; on-line identification; reduced complexity algorithm; Adaptive control; Adaptive filters; Adaptive systems; Dictionaries; Matching pursuit algorithms; Neural networks; Nonlinear systems; Programmable control; Pursuit algorithms; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Electronics Engineers in Israel, 1996., Nineteenth Convention of
Conference_Location
Jerusalem
Print_ISBN
0-7803-3330-6
Type
conf
DOI
10.1109/EEIS.1996.567025
Filename
567025
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