SMU辅助建模系统的算法设计

The Algorithm Design for an SMU Aided Modeling System

在解决鲁棒辨识问题的新方法──采用集合元素不确定（ＳＭＵ）方式处理不确定因素的思想方法指导下，讨论了ＳＭＵ参数估计理论，采用中心及投影估计且使用不同的误差范数，设计了四种参数估计算法，并在计算机上实现了一个辅助建模系统，最后分别用这四种算法对一个案例进行辨识．

ased on a new idea for robust identification, i. e., using the method of Set Membership Uncertainty (SMU) to deal with system uncertainty, the SMU parameter estimation theory is discussed. With central and project estimations, 4 algorithms for parameter estimation are designed according to different error norms. A computer-aided modeling system is developed and a case identified with the algorithms is presented.