系统非线性参数识别的松驰法

研究了非线性参数系统模型的识别问题，通过引入求解线性方程的松驰法思想，构造了一类新的迭代识别算法。算例表明此方法具有很好的参数识别精度，并且具有概念清楚，易于编程等特点，为非线性系统模型参数的识别问题提供了新的思路。

A Relaxation Method for Nonlinear System Parameter Identification

A nonlinear system parameters identification problem is investigated in this paper by introducing a relaxation method used for solving the linear equations of the system. A new iterative method is proposed, in which each iteration cycle is composed of two steps, and the unknown parameters are estimated by solving the linear equation of the system. If the system inputs are unknown, a complement method is then used together with the relaxation method for solving the complex dynamic inverse problem. Numerical simulation shows that the proposed method has high accuracy in parameter identification. Furthermore,the proposed method is simple to use and provides a new approach for non linear system parameter identification.