摘要
该文针对非线性系统的辨识问题,给出了第一类模糊辨识器的设计方案,该方案通过引入最优逼近误差的自适应律参数项,实时地调整参数来实现对非线性系统的辨识。采用此方法可使辨识器模型的输出很快收敛到真实系统,且辨识误差渐进收敛到零。该文根据此算法编写了便于仿真实现的MATLAB程序,且给出了此程序的解算流程图。最后对Rossler混沌系统的实例进行仿真,绘制了系统真实曲线和辨识器模型输出的估计值曲线,仿真结果说明了该方法在非线性系统辨识中的使用性和可行性。
A new scheme of the first class fuzzy identificater for nonlinear systems is proposed in this paper. The adaptive parameters of the optimal approximation error is adopted. By adjusting the parameters , the results of the identificater model can converge to the results of the true systems ,and the identificater error can quickly converge to zero. This paper gives the algorithm and the program flow. By using MATLAB a general practicable program is written. At last this paper gives the simulation example about Rossler chaos system,and the curves of true system and identificated system . Simultation results show that the method is effective .
出处
《计算机仿真》
CSCD
2005年第9期143-145,共3页
Computer Simulation
关键词
非线性系统
模糊辨识器
仿真
Nonlinear systems
Fuzzy identifieater
Simulation
