提出了基于小脑模型神经网络(CMAC)控制器的能量管理策略，分析了CMAC参数对控制器性能的影响。
This paper presents energy management strategy on the basis of CMAC, and analyzes the influence of CMAC parameters on the performance of controller.
从工业过程实际应用要求出发，研究开发了基于模糊逻辑系统的小脑模型关节控制器神经网络算法。
A new neural algorithm based on fuzzy Cerebella Model Articulation Controller (CMAC) is researched for the application of industry process.
采用小脑模型神经网络（CMAC）控制器与常规PD控制器相结合的自适应控制器，取代常规的PID或PI控制器，实现对直流电机的控制，并基于DSP来实现。
The traditional PID/PI controller is replaced by the combination of CMAC and PD controller, and it is applied on the DC motor based on DSP.
采用小脑模型神经网络（CMAC）控制器与常规PD控制器相结合的自适应控制器，取代常规的PID或PI控制器，实现对直流电机的控制，并基于DSP来实现。
The traditional PID/PI controller is replaced by the combination of CMAC and PD controller, and it is applied on the DC motor based on DSP.
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