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Pre-estimation for better initial guesses
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DOI：10.1109/TIM.2004.827299.png)
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Abstract
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Fast, assured convergence of iterative identification methods is important in many on-line applications, including systems that exploit indirect measurements, diagnostics, and model-based control. The transient response of a system can often be mapped directly to an estimate of the system model parameters. This initial estimate, or pre-estimate, can be evaluated in fixed time and may greatly accelerate subsequent iterative system identification procedures. A pre-estimation structure is developed and demonstrated with examples including single-tone frequency estimation and induction motor parameter identification.
Keywords:
estimation
indirect measurement
modeling
system identification
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