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TransGA can identify the dynamics of multiple - input processes using
transfer function models. It can identify the parameters and structure of
transfer functions simultaneously. TransGA is a free software based on a genetic
algorithm.
Main Features
 | TransGA uses the genetic algorithm of GOAL. Therefore, it shares the
capabilities of GOAL related to genetic algorithm's parameters: |
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Data can be read from a text file, or introduced and edited
using the spreadsheet - type interface of TransGA. |
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TransGA can handle SISO (Single Input Single Output) and
MISO (Multiple Input Single Output) problems. |
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TransA does not require an initial guess of the structure of
the transfer function: it can optimize the transfer function's parameters
and structure simultaneously, and it is able to characterize complex dynamic
behaviors, such as delays, inverse response, oscillations, etc. |
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TransGA displays the results in several ways: graphically,
by comparing the experimental and calculated dynamic responses, and plotting
the step response of the transfer function; and textually, by writing the
transfer functions as polynomials of z. |
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TransGA also generates a report, which contains the result
of the identification, as well as the evolution of several genetic
algorithm's parameters during the optimization. |
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Users can get help about several subjects related to the use
of the program, genetic algorithms, and system identification: |
Download
Click here to download TransGA.
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