P-增广矩阵及其动态跟踪识别应用  

P-augmented matrix and its application in dynamic tracking recognition

作　　者：张秀全 ZHANG Xiuquan(School of Mathematics and Statistics,Huanghuai University,Zhumadian 463000,China)

机构地区：[1]黄淮学院数学与统计学院,河南驻马店463000

出　　处：《安徽大学学报（自然科学版）》2022年第3期53-58,共6页Journal of Anhui University(Natural Science Edition)

基　　金：国家自然科学基金资助项目(12171193);河南省高等学校青年骨干教师培育项目(2021GGJS158)。

摘　　要：P-增广矩阵是利用P-集合的动态特征改进普通增广矩阵得到的增广矩阵新结构.利用P-集合的结构与动态特征,给出P-增广矩阵与普通增广矩阵的关系,及P-增广矩阵的合取范式扩展-收缩逻辑特征;利用P-增广矩阵动态特性与系统工作状态吻合的规律,把P-增广矩阵数学模型应用于动态跟踪识别系统,为判断系统的状态特征提供了新的方法.P-augmented matrix was a new structure of augmented matrix obtained by improving ordinary augmented matrix with the dynamic characteristics of P-sets.Using the structure and dynamic characteristics of P-sets,the relationship between P-augmented matrix and ordinary augmented matrix were given,and the conjunctive normal form expansion-contraction logic characteristics of P-augmented matrix was given.The mathematical model of P-augmented matrix was applied to the dynamic tracking and recognition system by using the law that the dynamic characteristics of P-augmented matrix coincide with the working state of the system,which provides a new method for judging the state characteristics of the system.

关 键 词：P-集合 P-增广矩阵 合取范式 动态跟踪识别 

分 类 号：O144[理学—数学]