An adaptive speed control scheme for DC drive system, which combines an adaptive PID controller based on single neuron with a load observer, is presented.
针对直流调速系统，将单神经元自适应PID控制器与负载观测器有机结合，提出了一种基于单神经元的自适应速度控制方法。
The control strategy unites single neuron PI control algorithm and the predictive model based on neural network. The output of the controller is determined by PI algorithm.
采用单神经元PI控制算法与神经网络预测模型相结合的控制策略，用PI控制规律来确定控制器的输出。
The structure of single neuron PID controller for motion control and the fuzzy adaptive PID control based on BP networks are researched on.
探讨了用于运动控制的单神经元pid控制器的结构与基于BP网络的模糊自适应PID控制。
Based on the study of BP neural network and PID controller, a single neuron adaptive PSD algorithm is presented.
在对BP神经网络PID控制器系统研究的基础上，提出了单神经元的自适应PSD算法。
Based on designing analytical fuzzy controller, fuzzy-neuron model-free control algorithm is studied by using single neuron and the thought of intelligent integral.
设计了解析模糊控制器，并在此基础上引入了单神经元；根据智能积分的思想，研究了模糊神经元非模型控制算法。
An adaptive PID controller for energy-saving of a hydraulic excavator based on the single neuron concept was designed on the basis of the fact that the single neuron features the PID characteristics.
在分析单神经元pid特性的基础上，设计了基于单神经元的液压挖掘机自适应PID节能控制器。
An adaptive PID controller for energy-saving of a hydraulic excavator based on the single neuron concept was designed on the basis of the fact that the single neuron features the PID characteristics.
在分析单神经元pid特性的基础上，设计了基于单神经元的液压挖掘机自适应PID节能控制器。
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