Estimates Conformity Principle in the Problems of Identification

机译：识别问题中的估计一致性原则

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A non-traditional approach to solving the identification problems using a small number of observations is developed. The approach is formulated as an estimate conformity principle. The problem of identifying a linear dynamic model is treated within this approach. A significant feature of the above method is the use of a quality criterion not requiring the knowledge of a priori probability noise distributions. The method is well suitable for real-time object identification in adaptive control systems.

机译：开发了一种非传统的方法来使用少量观察结果来解决识别问题。该方法被表述为估计符合性原则。在这种方法中解决了识别线性动态模型的问题。上述方法的显着特征是使用质量标准，该质量标准不需要了解先验概率噪声分布。该方法非常适合于自适应控制系统中的实时对象识别。

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《International Conference on Computational Science - ICCA 2003 Pt.2 Jun 2-4, 2003 Melbourne, Australia and St. Petersburg, Russia》|2003年|p.463-470|共8页
会议地点 Melbourne(AU) St. Petersburg(RU);Melbourne(AU) St. Petersburg(RU)
作者
Vladimir Fursov;
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作者单位

Image Processing Systems Institute, the Russian Academy of Sciences, 443001, Molodogvardeiskay, 151, Samara, Russia;

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会议组织
原文格式 PDF
正文语种 eng
中图分类自动化技术、计算机技术;
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机译：估计识别问题的符合性原则

Estimates Conformity Principle in the Problems of Identification

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