内P-信息融合与信息过滤-辨识

Internal P-information Fusion and Information Sieve-filtration

P-集合(packet sets)是一个动态模型,P-集合是由内P-集合X^F(internal packet set X^F)与外P-集合(outer packet set X^F)构成的元素集合对;或者(X^F,X^F)是P-集合.利用内P-集合与信息融合交叉,给出内P-信息融合概念,给出一些基本理论结果,并利用这些特性进行信息过滤-辨识.最后利用这些结果给出应用.

P-sets（packet sets） is a set-pair composed of internal P-set XF（internal packet set XF） and outer P-set XF（outer packet set XF）, or （XF,XF） is P-sets, which has the dynamic characteristic. Under a certain condition, P-sets （XF,XF） can be recovered to finite general set X. By using P-sets, generation of internal P-information fusion, the dependence theorem of internal fusion, internal P-infor- mation generation theorem, information sieve-filtration theorem. Using those results, application is shown.