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与传统的在欧氏空间建立系统动力学模型不同,基于运动模式的建模是在模式运动空间中刻画系统的动力学特性.首先,提出一种基于粒子群优化和四叉树空间划分的多维模式运动空间的构建方法,为了定量描述多维模式的运动,采用多维区间数度量多维模式类别变量;然后,定义一种多维区间T-S模糊模型,并以此构建多维运动模式的预测模型;最后,以烧结生产过程的实际数据为例,验证了所提出预测模型的有效性.
Different from the traditional model of system dynamics established in Euclidean space, the model based on motion mode is used to characterize the dynamics of the system in the model motion space.Firstly, a multidimensional model based on particle swarm optimization and quadtree space partitioning In order to quantitatively describe the movement of multidimensional model, multidimensional interval type is used to measure the multidimensional model category variables. Then, a multidimensional interval TS fuzzy model is defined and a multi-dimensional motion model prediction model is constructed. Finally, The actual data of sintering process is taken as an example to verify the effectiveness of the proposed model.