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该程序是基于BP网络的PID控制系统。系统由两部分构成：经典的PID控制器和神经网络。-that the procedure was based on BP network PID control system. System consists of two parts : the classic PID controller and neural networks.
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一种基于RAN网络辨识的自适应PID控制器-a neural PID adaptive controller based on resource allocation network
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bp神经网络用于PID控制器matlab代码(BP neural network used in PID controller MATLAB code)
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The controller is built by MATLAB/Simulink. PID人工神经网络控制算法(Neural Network with PID controller is built by MATLAB/Simulink. This controller can be used in motor drive and other actuators in industry.)
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We introduce Dynamic Deep Neural Networks (D2NN),
a new type of feed-forward deep neural network that allows
selective execution. Given an input, only a subset of D2NN
neurons are executed, and the particular subset is determined
by the D2NN itse
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构建了简单的忆阻神经网络的MATLAB模型，并设计了自适应控制器，来实现驱动-响应同步。(Construct the MATLAB model simple memristive neural network, and the adaptive controller is designed to achieve drive-response synchronization.)
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In this paper, an efficient active power filter (APF) scheme is developed to estimate and compensate for harmonic distortion in an electrical power network. The developed APF control scheme is based on a double proportional feedback controller and a
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分数阶控制器，分数阶神经网络，人工智能,，MATLAB程序(It is convenient to solve large LMI quickly, and it is suitable for students of engineering control engineering to use fractional order controller, fractional order neural network, artificial intelligence, and MATLAB pro
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这是一个基于神经网络RBF的PID控制器，SIMULINK模型加m函数(This is a PID controller based on neural network RBF, SIMULINK model plus m function.)
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基于BP神经网络的PID控制器的参数整定(PID Controller based on BP Neural Network)
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基于S函数的BP神经网络PID控制器Simulink仿真(BP neural network PID controller Simulink simulation based on S function)
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建立了电动汽车的电机模型，电池模型以及自适应巡航系统的ACC控制算法，采用神经网络控制对ACC系统控制器进行详细的设计(The motor model, battery model and ACC control algorithm of adaptive cruise system of electric vehicle are established. The controller of ACC system is designed in detail by using neural net
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使用Matlab实现了基于模糊神经网络的PID控制器，用于模拟斩波电路的PID控制器控制模拟(The PID controller based on fuzzy neural network is realized by using MATLAB, which is used to simulate the control of the PID controller of the analog chopper circuit.)
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利用BP神经网络优化PID控制器参数，实现在线整定，达到最优化。(The parameters of PID controller are optimized by BP neural network to realize on-line tuning and optimization.)
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