### 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) |
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Pages | 49-52 |

Number of pages | 4 |

State | Published - Dec 1 1987 |

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### ASJC Scopus subject areas

- Engineering(all)

### Cite this

*MODELING OF SYSTEM DYNAMICS AND DISTURBANCE BY DATA DEPENDENT SYSTEMS.*. 49-52.

**MODELING OF SYSTEM DYNAMICS AND DISTURBANCE BY DATA DEPENDENT SYSTEMS.** / Rajurkar, K. P.; Abu-Hamda, A. H.; Navelkar, V. V.

Research output: Contribution to conference › Paper

}

TY - CONF

T1 - MODELING OF SYSTEM DYNAMICS AND DISTURBANCE BY DATA DEPENDENT SYSTEMS.

AU - Rajurkar, K. P.

AU - Abu-Hamda, A. H.

AU - Navelkar, V. V.

PY - 1987/12/1

Y1 - 1987/12/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0023571022&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0023571022&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:0023571022

SP - 49

EP - 52

ER -