A methodology called data-dependent systems (DDS) is used for simultaneously modeling the system dynamics and disturbance for a heat exchanger system from a set of experimental data. The response is shown to be composed of two parts: a deterministic part represented by an nth-order linear system, and a stochastic part characterized by difference/differential equations that represent the dynamics of the noise. The parameters characterizing the system are estimated using the differential equation representing the model.
|Original language||English (US)|
|Number of pages||4|
|State||Published - 1987|
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