Abstract
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) |
|---|---|
| Pages | 49-52 |
| Number of pages | 4 |
| State | Published - 1987 |
ASJC Scopus subject areas
- Engineering(all)