Abstract
An extensive literature exists on the estimation of the model parameters of time delayed processes. The objective of this paper is to review the main B-polynomial approaches to the delay estimation problem. More specifically, two algorithms are discussed and compared theoretically and in simulation. The algorithms involve various procedures to assess how the model relates to the observed data, to a priori knowledge, and to the algorithms’ intended use. Simulation results indicate that both the algorithms can suitably identify the model parameters, including the time delay. This paper also discusses advantages and disadvantages of the methods and gives some guidelines for choosing the appropriate algorithm.
| Original language | English |
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| DOIs | |
| Publication status | Published - 2001 |
| Event | Irish Signals and Systems Conference - Maynooth, Ireland Duration: 1 Jun 2001 → 30 Jun 2001 |
Conference
| Conference | Irish Signals and Systems Conference |
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| Country/Territory | Ireland |
| City | Maynooth |
| Period | 1/06/01 → 30/06/01 |
Keywords
- estimation
- model parameters
- time delayed processes
- B-polynomial approaches
- delay estimation
- algorithms
- simulation
- model relates
- observed data
- a priori knowledge
- intended use
- simulation results
- identify
- time delay
- advantages
- disadvantages
- guidelines