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11下载:
一级倒立摆的模糊控制与神经网络控制。Simulink仿真环境。使用说明:在使用模糊控制时先把*.fis导入workspace,否则无法运行。,An inverted pendulum fuzzy control and neural network control. Simulink simulation environment. Usage: in the use of fuzzy control to import*. fis first workspace, otherwise it is
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倒立摆的仿真程序,作为模糊神经网络的入门程序很不错。,Inverted pendulum simulink simulation program as a fuzzy neural network entry procedure very well
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经典倒立摆问题的神经网路控制器仿真,对了解神经控制和simulink仿真很有用-Classic inverted pendulum control problem of neural network simulation, neural control and the understanding of the usefulness of simulation simulink
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基于MATLAB用神经网络控制的一阶倒立摆模型,效果良好!-MATLAB-based control using neural networks first-order inverted pendulum model, the effect is good!
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倒立摆神经网络模型参考控制器设计,过程很繁琐,里面包括参考的模型,实际的倒立摆模型-Inverted pendulum neural network model reference controller design process is cumbersome, which includes the reference model, the actual inverted pendulum model
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Simulation file for control the inverted pendulum using neural fuzzy algorithm.
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使用神经网络实现对一阶倒立摆的控制。其中包含simulink连接图、神经网络程序、最终结果。-Using neural network to achieve a first-order inverted pendulum control. Contains simulink connection diagram, the neural network program, the final result.
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BP神经网络控制一级倒立摆simulink仿真-BP neural network control an inverted pendulum simulink simulation
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本程序可以实现利用神经网络算法对倒立摆的稳定控制-Stability control procedures can be achieved using neural network algorithm for inverted pendulum
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倒立摆系统的辩识和控制
(1) 程序Pmodel.m 描述问题 建立倒立摆系统的数学模型
(2) 程序N-Model.m 取得系统的行为状态样本
(3) 程序chp14_3.m 根据以上所得输入值Pm和目标值Tm构造一个神经网络,并根据所描述问题的行为状态样本对网络进行训练,调整网络的权值和阀值,使网络具有与系统同样的行为特性。
(4) 程序chp14_4.m 对系统与网络的行为特性进行测试与比较。-Identification and control of inverted p
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