摘要
运用模糊的理论，对非线性系统识别参数估计的不确定性造成的“模糊”问题，估计值得不到精确解，回归效果较差。使用Ｆｕｚｙ线性加权估计非线性系统识别中的变量值，能较好地解决线性回归和状态“模糊”的问题。
Applying the theory of fuzzy, a fuzzy problem is due to uncertainty in parameter estimation with nonlinear systems identification. And its estimative value is not accurately, the regression efficiency is badly. In estimation of variable value in nonlinear system identification by using of linear weighted, the problem of situation fuzzy and linear regression can be solved.
出处
《系统工程与电子技术》
EI
CSCD
1999年第5期25-27,31,共4页
Systems Engineering and Electronics
