基于遗传编程的非线性系统辨识

为了实现对非线性系统的辨识,能够对目标系统的结构和参数进行同步辨识,将遗传编程(Genetic Programming,GP)作为辨识工具.使用基本遗传编程算法对非线性静态系统进行辨识-对电厂钢球磨煤机存煤量与产粉量之间的特性关系曲线进行辨识;使用一种改进的遗传编程算法对非线性动态系统进行辨识-对一个二阶离散非线性差分方程进行辨识.所有辨识都取得了满意的结果.遗传编程进化过程中,目标系统的结构与参数同时准确辨识,证明遗传编程非常适合于解决非线性系统辨识问题,并在算法上实现了结构辨识和参数辨识的统一.

Nonlinear System Identification Based on Genetic Programming

To identify both structures and parameters of nonlinear systems simultaneously,the genetic programming(GP)algorithms are employed.The basic GP algorithm is used to identify a nonlinear static system of a coal pulverizer in power plant.And an improved GP algorithm is used to identify a nonlinear dynamic system of a second-order nonlinear difference equation.The satisfied results are achieved with accurate and simultaneous identification of both structures and parameters of object systems.The results show tha...