CAJ | 학술논문

在已有离散时间变量带误差（EIV）系统辨识方法的基础上，探索能辨识连续时间EIV系统的L2最优辨识方法。所获得的L2最优辨识模型由表征为正规右图符号（NRGS）的系统模型及其补内因子（CIF）表征的噪声模型描述。首先利用已有L2最优辨识方法优化得到离散时间L2最优辨识模型；然后再利用双线性变换将其转化成连续时间模型；最后，通过数值仿真例验证了所提出辨识方法的有效性。
재이유리산시간변량대오차（EIV）계통변식방법적기출상，탐색능변식련속시간EIV계통적L2최우변식방법。소획득적L2최우변식모형유표정위정규우도부호（NRGS）적계통모형급기보내인자（CIF）표정적조성모형묘술。수선이용이유L2최우변식방법우화득도리산시간L2최우변식모형；연후재이용쌍선성변환장기전화성련속시간모형；최후，통과수치방진례험증료소제출변식방법적유효성。
Based on an existing identification method for discrete-time errors-in-variables (EIV)systems, an L2- optimal identification method capable of identifying continuous-time EIV systems is explored. The obtained L2- optimal identification model is composed of a system model and a noised model, which are characterized by a normalized right graph symbol (NRGS) and its complement inner factor (CIF), respectively. In the first place a discrete-time L2-optimal identification model is optimized from the existing L2-optimal identification method, and then a bilinear transform is used to convert it into a continuous-time model. Finally, numerical simulation results show that the proposed identification method is effective.