Title :
Multi-output system identification using evolutionary programming
Author :
Andersen, B.L. ; Page, W.C. ; McDonnell, J.R.
Author_Institution :
US Naval Ocean Syst. Center, San Diego, CA, USA
Abstract :
The use of evolutionary programming (EP) in system identification of single-input-multiple-output (SIMO) systems is studied. EP is used to identify parameters of a linear time-invariant system. Specifically, the identification of SIMO systems whose measurements can contain different amounts of noise is examined. A cost function is proposed to take into account disparate noisy observations
Keywords :
optimisation; parameter estimation; stochastic processes; cost function; disparate noisy observations; evolutionary programming; genetic algorithms; linear time-invariant system; single input multiple output systems; system identification; Genetic programming; Gradient methods; Noise measurement; Oceans; Parameter estimation; Sea measurements; Stochastic processes; System identification; Transfer functions; Vectors;
Conference_Titel :
Signals, Systems and Computers, 1991. 1991 Conference Record of the Twenty-Fifth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
0-8186-2470-1
DOI :
10.1109/ACSSC.1991.186508
