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A stochastic approximation algorithm for asymptotic time-invariant linear systems

 

作者: HARALD HÖGE,  

 

期刊: International Journal of Control  (Taylor Available online 1976)
卷期: Volume 23, issue 2  

页码: 229-236

 

ISSN:0020-7179

 

年代: 1976

 

DOI:10.1080/00207177608922155

 

出版商: Taylor & Francis Group

 

数据来源: Taylor

 

摘要:

In order to estimate the state of an asymptotic time-invariant linear system with special statistical properties, an easily calculated stochastic approximation algorithm is developed. For a certain class of linear estimators this algorithm characteristically produces the least mean square estimation error, a property which is not lost if time-variant systems with non-vanishing plant noise are considered.

 

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