摘要
由于许多复杂的工业系统具有非线性特性 ,难以建立确切的数学模型 ,因此提出用多模型小波网络辨识非线性动态系统 ,并给出了辨识结构和训练算法 .仿真实验比较了多模型小波网络与单小波网络在辨识非线性系统时性能上的差异 ,验证了该方法收敛速度快 ,抗干扰能力强 。
Due to the highly nonlinear and complex dynamics of industrial system, it's difficult to build exact model. A multi model wavelet network method to identify nonlinear dynamic system was presented. The structure and the learning method for the identification was given. We compared the performance of multi model wavelet network with that of single wavelet network. The simulation results showed that the method presented possessed high approximation accuracy and stability.
出处
《信息与控制》
CSCD
北大核心
2003年第3期272-276,共5页
Information and Control
