CAJ | 학술논문

针对传统符号有向图(SDG)建模方法容易引入虚假因果关系的问题,利用因果序分析时系统各阶自含结构进行逐层分解,通过各阶变量完全子集迭代解析平衡结构变量的层级因果关系,以及典范式积分链的约简导出动态结构变量的层级因果关系,运用中间变量的衔接作用,结合变量系数辨识定性的因果影响效果,实现了平衡、动态及混合结构的线性系统SDG模型的构建.以串联存储系统为实例进行验证,结果表明该方法消除了以系统方程等式关系直接导出SDG模型引入的虚假因果关系,且辨识出多处潜在的因果关系,与传统的SDG建模方法相比,以该方法构建的SDG模型精度更高,而且完备性较好.
침대전통부호유향도(SDG)건모방법용역인입허가인과관계적문제,이용인과서분석시계통각계자함결구진행축층분해,통과각계변량완전자집질대해석평형결구변량적층급인과관계,이급전범식적분련적약간도출동태결구변량적층급인과관계,운용중간변량적함접작용,결합변량계수변식정성적인과영향효과,실현료평형、동태급혼합결구적선성계통SDG모형적구건.이천련존저계통위실례진행험증,결과표명해방법소제료이계통방정등식관계직접도출SDG모형인입적허가인과관계,차변식출다처잠재적인과관계,여전통적SDG건모방법상비,이해방법구건적SDG모형정도경고,이차완비성교호.
Focusing on signed digraph(SDG) models holding inaccurate information to induce spurious solution, causal ordering analysis is introduced to resolve causal dependent relation of system variables. The hierarchical causal dependent relation among variables in system equations is revealed by complete subsets iteration of self-contained structure of equilibrium structure and integral chain reduction in canonical form of dynamic structure. The causal dependent effect among variables is obtained by coefficients identification. SDG models are then constructed for linear systems of three forms of equilibrium structure, dynamic structure and mixed structure based on causal ordering analysis. The experimental instance indicates that in the SDG model constructed the spurious information is removed and the accuracy of SDG model is improved effectively.