摘要
为了识别非线性系统的参数,本文提出了一种基于自适应Volterra滤波器的非线性系统辨识方法。给出了自适应Volterra滤波器的LMS和RLS算法。数值仿真结果表明,该方法对于非线性定常和时变系统都有效。
To identify parameters of a nonlinear system, a method based on adaptive Volterra filters is presented in this paper. Both Least Mean Square (LMS) and Recursive Least Square (RLS) algorithms for adaptive Volterra filters are brought forward. The numerical simulation results indicate that the method presented is effective for both nonlinear time-invariant and nonlinear time-varying systems.
出处
《电光与控制》
北大核心
2005年第2期42-44,共3页
Electronics Optics & Control
基金
华中科技大学博士后科研专项基金资助
