Control relevant identification for third-order Volterra systems: a polymerization case study

Abstract

In this work the problem of identifying third-order Volterra models from input-output process data is addressed. The identification problem involves the rational design of input sequences that exploit the Volterra model structure. The criterion used to measure the model fitness is the minimization of the prediction error variance (PEV). Explicit estimators… (More)

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