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《Chinese Journal of Scientific Instrument》 1988-04
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Pattern Recognition Based State Estimation——Measurement Aids with Software

Ye,Nan Lu,Yong-zai (Zhejiang University)  
This paper presents a development of pattern recognition based state estima-tion techniques.With the proposed approaches,the system dynamics are described throughthe pattern construction and classification based on the system measurement data sequen-ces without knowing the system dynamic models generally being required when using theregular state estimation methods,such as Kalman filtering,observer and so on.In order to improve the accuracy of the estimated results,the learning algorithm basedon stochastical approximation is introduced in the pattern recognition state estimator.Aillustrative numerical examples given at this paper shows that the proposed approaches areapplicable to the control systems.
【Fund】: 国家教委科学基金
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