Accession Number : ADA264556


Title :   Multi-Output System Identification Using Evolutionary Programming


Descriptive Note : Professional paper


Corporate Author : NAVAL COMMAND CONTROL AND OCEAN SURVEILLANCE CENTER RDT AND E DIV SAN DIEGO CA


Personal Author(s) : Andersen, B L ; Page, W C ; McDonnell, J R


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a264556.pdf


Report Date : 04 Nov 1991


Pagination or Media Count : 7


Abstract : Evolutionary programming (EP) has been demonstrated to be an effective method of system identification of single-input-single-output (SISO) systems. This paper investigates the use of EP in system identification of single-input-multioutput (SIMO) systems. EP is used to identify parameters of a linear, time-invariant system. Specifically, this paper examines the identification of SIMO systems whose measurements can contain different amounts of noise. A cost function is proposed to take into account disparate noisy observations.... Evolutionary programming (EP), Single-input-single-output (SISO).


Descriptors :   *INPUT OUTPUT PROCESSING , MATHEMATICAL MODELS , INPUT , OUTPUT , MEASUREMENT , TIME , IDENTIFICATION , NOISE , COSTS , OPTIMIZATION , PARAMETERS , OBSERVATION , COMPUTER PROGRAMMING


Subject Categories : Operations Research
      Computer Hardware


Distribution Statement : APPROVED FOR PUBLIC RELEASE