提出了一种模糊小脑模型神经网络(FCMAC)。
A new kind of FCMAC (Fuzzy Cerebellar Model Articulation Controller) is presented.
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.
设计了以装配力信号为输入的小脑模型神经网络，建立了机器人复合柔顺装配作业的CMAC系统，收到良好的装配效果。
CMAC neutral network controller is designed, which receives the assembly force signals, CMAC System of Active-Passive compound Compliance in the Robotic assembly Process is setup, and good res...
本文针对矢量控制交流伺服系统，提出了一种模糊小脑模型神经网络直接逆控制的方案，给出了较详细的原理分析及实现过程。
A direct inverse control scheme of FCMAC neural network is presented for vector control AC servo system. The principle analysis and the design realizing process of the system are given in detail.
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.
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.
本文在神经网络中主要研究了小脑模型关节控制器(CMAC)。
Cerebella model articulation controller (CMAC) among NN is mainly studied here.
本文在神经网络中主要研究了小脑模型关节控制器(CMAC)。
Cerebella model articulation controller (CMAC) among NN is mainly studied here.
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