本文介绍了一种建立在运动链关联矩阵基础上求解运动链特性多项式的新方法。

A new method of obtaining linkage characteristic polynomials based on the adjacency matrix of the kinetic chain is presented in the paper.

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针对一类关联项的上界是高阶多项式的关联大系统，设计了一种新的分散自适应模糊控制方法。

In this paper, it develops a novel decentralized adaptive fuzzy control for a class of large-scale nonlinear systems with higher order interconnections.

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从网的关联矩阵以及所定义变迁发生序列的结构，求解结构活网的极小标识，得到了一个多项式时间算法。

A polynomial algorithm about minimal marking of structural live Petri nets is presented, it is based on incidence matrix and the constructive of transitions sequence.

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