DocumentCode :
1804655
Title :
Linear approximation of weakly nonlinear MIMO systems
Author :
Dobrowiecki, Tadeusz P. ; Schoukens, Johan
Author_Institution :
Dept. of Meas. & Inf. Syst., Budapest Univ. of Technol. & Econ., Hungary
Volume :
3
fYear :
2004
fDate :
18-20 May 2004
Firstpage :
1607
Abstract :
In this paper it is shown that a nonlinear MIMO system can be replaced by a linear system plus a nonlinear noise source. The optimized measurement strategy is proposed to measure the nonparametric FRF.
Keywords :
MIMO systems; Volterra series; frequency response; identification; nonlinear systems; random noise; Volterra systems; Wiener-Hammerstein block model; general random excitations; input-output relation; linear approximation; multiple input systems; nonlinear noise source; nonparametric frequency response function; optimized measurement strategy; power spectrum; weakly nonlinear MIMO systems; Additive noise; Kernel; Linear approximation; MIMO; Noise measurement; Nonlinear dynamical systems; Nonlinear systems; Shape measurement; Stochastic resonance; Stochastic systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2004. IMTC 04. Proceedings of the 21st IEEE
ISSN :
1091-5281
Print_ISBN :
0-7803-8248-X
Type :
conf
DOI :
10.1109/IMTC.2004.1351389
Filename :
1351389
Link To Document :
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