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智能控制；BP神经网络算法；PID控制器MATLAB 仿真-Intelligent Control BP neural network algorithm MATLAB simulation, the PID controller
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针对传统的PID 控制器参数固定而导致在控制中效果差的问题，提出一种基于模糊RBF 神经网络智能PID 控制器的设计方法。
该方法结合了模糊控制的推理能力强与神经网络学习能力强的特点，将模糊控制与RBF 神经网络相结合以在线调整PID 控制器参数，整
定出一组适合于控制对象的kp. ki. kd 参数。将算法运用到电机控制系统的PID 参数寻优中，仿真结果表明基于此算法设计的PID 控制器改善了电机控制系统的动态性能和稳定性。-Fixed for the traditional PID
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利用模糊神经网络自动建立驾驶意图识别模糊控制器-built driver intention recognition fuzzy controller by fuzzy neural network
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神经网络，神经自校正控制器的matlab仿真，神经网络控制与matlab仿。反馈线性化控制。-Neural networks, neural self-tuning controller matlab simulation, neural network control with Matlab simulation. Feedback linearization control.
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bp神经网络控制PID控制器 训练1000次得到一个更为仔细的值-bp neural network control PID controller training 1000 times to get a more detailed value
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基于径向基（rbf）神经网络的预测控制器设计中对神经网络进行聚类分析-Based on radial basis function (RBF) cluster analysis to the neural network forecast controller design of neural networks
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采用基于BP神经网络的PID控制方法，设计PID控制器的在线调整控制系统，改善系统的动态性能-Based on BP neural network PID control, PID controller design line adjustment control system, improve the system dynamic performance
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单神经元神经网络PID控制器设计程序实例-Single neuron neural network PID controller design process instance
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程序1：遗传算法和非线性规划函数的优化；
程序2：基于遗传算法的BP神经网络优化；
程序3：基于遗传算法的TSP算法；
程序4：基于遗传算法的LQR控制器优化设计
程序5：基于遗传算法的函数优化-Program 1: genetic algorithms and nonlinear programming function optimization Program 2: Based on the genetic algorithm BP neural network optim
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基于神经网络的模糊PID料筒温度的控制器
-Fuzzy Barrel Temperature PID Controller Based on Neural Network
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In this paper a Conventional PD Controller and Fuzzy Neural Controller for trajectory tracking of mobile robot
platform is presented. Using computed torque method is given input- torque on mobile robot wheels. The
locomotion control structure is
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采用遗传算法训练具有7个隶属函数的FNN控制器权值的一个好用程序,读自MATLAB工具箱的神经网络理论与应用程序源代码一书。-A useful training program using genetic algorithms with seven membership function FNN controller weights, read from MATLAB toolbox neural network theory and application source code book.
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模糊神经网络可用于模糊回归、模糊控制器.-Fuzzy neural network can be used for fuzzy regression, fuzzy controller
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模拟人类实际神经网络的数学方法问世以来，人们已慢慢习惯了把这种人工神经网络直接称为神经网络。神经网络在系统辨识、模式识别、智能控制等领域有着广泛而吸引人的前景，特别在智能控制中，人们对神经网络的自学习功能尤其感兴趣，并且把神经网络这一重要特点看作是解决自动控制中控制器适应能力这个难题的关键钥匙之一。
-Since the actual neural network simulation of human mathematical methods available, it has grad
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基于S函数BP神经网络的PID控制器的研究与学习，方便简单，实用性特别强。-S function based on BP neural network PID controller research and study, convenient and simple, practical particularly strong.
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基于模糊控制的BP神经网络PID控制器，规则简单，变通性强，学习时间简短。-Fuzzy Control Based on BP neural network PID controller, the rule is simple, flexible and strong, short learning time.
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An Artificial Neural Network Based Robot Controller that Uses Rat’s Brain Signals
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This paper proposes a new MPPT controller. The proposed
MPPT controller is based on genetic algorithm (GA) optimized
artificial neural network (ANN). For the simulation purpose an
improved model of SPV is used. The MPPT is simulated and
studi
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In this paper, an orthogonal functions neural network is used to
achieve the control of nonlinear systems. The adaptive controller is constructed
by using Chebyshev orthogonal polynomials neural network, which has advantages
such as simple stru
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情感神经网络工具箱 构建BELBIC控制器模型-Affective neural network toolbox to build BELBIC controller model
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