论文部分内容阅读
本文提出一种含随机干扰的连续 Wiener 模型参数估计的方法.该方法利用不同幅值的伪随机输入试验信号,离析出连续系统的线性子模型,用频域估计法得子模型的参数估值.再结合运用最小二乘法估计出 Wiener 模型的非线性特性系数.文中讨论了经过等效变换后的干扰信号与系统输出端原干扰信号的关系,相应地给出两个引理及其证明.仿真结果表明,该方法计算速度较快且参数估值精度较高.
In this paper, a method of parameter estimation of continuous Wiener model with random disturbance is proposed, which uses the pseudo-random input test signal of different amplitude to separate the linear sub-model of continuous system and estimate the parameter of sub-model Combining the least square method to estimate the nonlinear characteristic coefficient of the Wiener model, the relationship between the equivalently transformed interference signal and the original interference signal at the output of the system is discussed, and two lemmas and their corresponding proofs are given accordingly. The simulation results show that the proposed method is fast in computation speed and the accuracy of parameter estimation is high.