Multi-output system identification using evolutionary programming

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.<
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