【摘要】 提出一种用CMAC神经网络实时辨识时滞环节动态特性的方法 ,并进行了仿真研究。研究表明 ,采用本方法具有收敛速度快、精确度高的特点。最后 ,探讨了其实际运用的可能性 ,这对于主动控制有一定借鉴意义更多还原

【Abstract】 Phase shift is a common while unpleasant phenomenon which will deteriorate the effectiveness of control systems. It is usually the result induced by delay elements. The key issue in eliminating the phase shift lies in how to model the performance of the delay elements. This task can not be achieved using a parameter fixed model since the nonlinearity and time variance of delay elements. This paper attempts to solve the problem in another approach, CMAC (Cerebellar Model Articulation Controller). CMAC is used here to adaptively estimate the dynamic characteristics of delay elements. Simulations show that when corresponding factors of CMAC are well selected, it runs quite well in emulating the performance of delay elements.更多还原