aggregation matrix造句

• 2 ) by analyzing the information and conditional information description mechanism of system states , the problem of stochastic model reduction is investigated based on state aggregation . the information loss and conditional information loss between the full - and reduced - order models are measured by entropy , while the independence and conditional independence within me components of aggregated state are measured by kullback - leibler information distance . several model reduction methods for stable and unstable linear systems are derived by employing two criteria to get aggregation matrices : the minimal information loss and the maximal independence
  2 )分析了随机系统状态空间模型中的信息和条件信息描述机制，以shannon熵为手段描述线性系统模型降阶过程中的信息和条件信息损失，以kullback - leibler信息作为衡量降阶模型状态向量各分量之间统计独立性的测度，针对稳定和不稳定系统研究基于状态集聚的模型降阶问题：分别运用最小信息损失准则和最大独立性原则，得出几种状态集聚的信息论方法，并讨论降阶模型的性质、阶次的确定、系统噪声分布特性等问题。