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Pre-estimation for better initial guesses
DOI:10.1109/TIM.2004.827299.png)
摘要
En 中文
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.
Keyword:
estimation
indirect measurement
modeling
system identification
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期刊
IF:
5.9
论文数:
2.0W
被引数:
5.8W
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引用论文
A novel Kalman filter for frequency estimation of distorted signals in power systems一种用于电力系统失真信号频率估计的新型卡尔曼滤波器

