### Abstract

An identification method is presented to deal with practical identification difficulties often encountered in plant testing, such as unsteady initial states and unknown load disturbances. A linear regression equation for step testing is first derived via integrating the differential system equation multiple times. A rectangular-pulse input is then considered as a combination of two step inputs. Based on the pulse response, the so-called two-stage least-squares algorithm is developed to overcome those identification difficulties and yield accurate estimates of the model parameters in a sequential manner. The method provides a convenient way to estimate the delay along with other model parameters. Furthermore, it is robust with respect to noise and model structure mismatch.

Original language | English |
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Article number | 412-116 |

Pages (from-to) | 79-84 |

Number of pages | 6 |

Journal | Proceedings of the IASTED International Conference on Modelling, Identification and Control |

Volume | 23 |

Publication status | Published - 2004 Dec 1 |

Event | Proceedings of the 23rd IASTED International Conference on Modelling, Identification, and Control - Grindelwald, Switzerland Duration: 2004 Feb 23 → 2004 Feb 25 |

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### All Science Journal Classification (ASJC) codes

- Software
- Modelling and Simulation
- Computer Science Applications

### Cite this

*Proceedings of the IASTED International Conference on Modelling, Identification and Control*,

*23*, 79-84. [412-116].

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*Proceedings of the IASTED International Conference on Modelling, Identification and Control*, vol. 23, 412-116, pp. 79-84.

**A method for identifying continuous delayed systems using rectangular-pulse testing.** / Hwang, Shyh-Hong; Huang, Yu Chang.

Research output: Contribution to journal › Conference article

TY - JOUR

T1 - A method for identifying continuous delayed systems using rectangular-pulse testing

AU - Hwang, Shyh-Hong

AU - Huang, Yu Chang

PY - 2004/12/1

Y1 - 2004/12/1

N2 - An identification method is presented to deal with practical identification difficulties often encountered in plant testing, such as unsteady initial states and unknown load disturbances. A linear regression equation for step testing is first derived via integrating the differential system equation multiple times. A rectangular-pulse input is then considered as a combination of two step inputs. Based on the pulse response, the so-called two-stage least-squares algorithm is developed to overcome those identification difficulties and yield accurate estimates of the model parameters in a sequential manner. The method provides a convenient way to estimate the delay along with other model parameters. Furthermore, it is robust with respect to noise and model structure mismatch.

AB - An identification method is presented to deal with practical identification difficulties often encountered in plant testing, such as unsteady initial states and unknown load disturbances. A linear regression equation for step testing is first derived via integrating the differential system equation multiple times. A rectangular-pulse input is then considered as a combination of two step inputs. Based on the pulse response, the so-called two-stage least-squares algorithm is developed to overcome those identification difficulties and yield accurate estimates of the model parameters in a sequential manner. The method provides a convenient way to estimate the delay along with other model parameters. Furthermore, it is robust with respect to noise and model structure mismatch.

UR - http://www.scopus.com/inward/record.url?scp=11844305597&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=11844305597&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:11844305597

VL - 23

SP - 79

EP - 84

JO - Proceedings of the IASTED International Conference on Intelligent Systems and Control

JF - Proceedings of the IASTED International Conference on Intelligent Systems and Control

SN - 1025-8973

M1 - 412-116

ER -