Title :
Identification of multi-input systems using simultaneous perturbation by pseudorandom input signals
Author :
Ai Hui Tan ; Barker, H. Anthony ; Godfrey, Keith R.
Author_Institution :
Fac. of Eng., Multimedia Univ., Cyberjaya, Malaysia
Abstract :
This study describes how sets of spectrally independent and uncorrelated pseudorandom perturbation signals created by a freely available MATLAB program may be used to simultaneously perturb the inputs of multi-input systems to facilitate their identification. It is shown that with appropriate choices of signals with periods N, N/2, N/4 and so on, the signals in a set have no common harmonics over the common period N, and that a very large number of sets are available in the program. The ways in which these signals may be applied is described and illustrated by two application examples.
Keywords :
identification; perturbation techniques; set theory; signal processing; Matlab program; multiinput system identification; signal choice; simultaneous perturbation; spectrally independent pseudorandom perturbation signals; uncorrelated pseudorandom perturbation signals;
Journal_Title :
Control Theory Applications, IET
DOI :
10.1049/iet-cta.2014.0795