Description: 有脉冲干扰 下的柔性机械臂的模糊控制方法。采用神经网络训练出来的T—S模糊控制器，控制效果不错。只有仿真模块，没有文字说明。-pulse interference with the interference of fuzzy manipulator control methods. Using neural network training, the T-S fuzzy controller, control effectiveness. Only Simulation Module, there is no written statement. Platform: |
Size: 7881 |
Author:郑军 |
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Description: 智能控制仿真4 基于神经网络的模糊控制器设计 简单易懂 适合学习-four intelligent control simulation based on neural network fuzzy controller design is simple to understand for learning Platform: |
Size: 2496 |
Author:张相爱 |
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Description: 采用模糊RBF神经网络对柴油机油门执行器位置进行控制，介绍了电液调速执行器的动态特性，设计了电液调速控制回路，本文将一种基于模糊RBF神经网络的PID控制器应用于柴油机调速控制当中，详细说明了模糊RBF神经网络控制器的设计过程，它结合了传统PID以及神经网络和模糊控制的优点，可以在线调整得到一组最优的PID控制参数。仿真结果表明该系统比传统模糊控制的响应速度快、超调小，且适应性强，具有推广价值。-fuzzy RBFNN right Diesel throttle actuator position control, on the speed electro-hydraulic actuator and the dynamic characteristics of the design of electro-hydraulic speed control circuit, This paper will be based on fuzzy RBFNN PID controller for speed control Diesel, a detailed description of fuzzy RBF neural network controller design process, It combines the traditional PID and neural network and fuzzy control advantages online can be an adjustment Optimal Group of PID control parameters. Simulation results show that the system than the traditional fuzzy control of the fast response, small overshoot, and adaptability, is worth promoting. Platform: |
Size: 60385 |
Author:阳关 |
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Description: 有脉冲干扰 下的柔性机械臂的模糊控制方法。采用神经网络训练出来的T—S模糊控制器，控制效果不错。只有仿真模块，没有文字说明。-pulse interference with the interference of fuzzy manipulator control methods. Using neural network training, the T-S fuzzy controller, control effectiveness. Only Simulation Module, there is no written statement. Platform: |
Size: 7168 |
Author:郑军 |
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Description: 智能控制仿真4 基于神经网络的模糊控制器设计 简单易懂 适合学习-four intelligent control simulation based on neural network fuzzy controller design is simple to understand for learning Platform: |
Size: 2048 |
Author:张相爱 |
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Description: 基于神经网络预测模型的聚类自适应模糊控制器的设计及应用，文章介绍了一种新的控制器设计方法 很有收藏价值-Based on neural network prediction model of clustering adaptive fuzzy controller design and application, the article introduced a new controller design method is very valuable for collection Platform: |
Size: 159744 |
Author:wang |
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Description: 将基于聚类分析的神经网络-模糊控制器应用于火电厂锅炉控制系统的访问研究-Cluster analysis will be based on neural network- fuzzy controller used in thermal power plant boiler control system access to research Platform: |
Size: 3208192 |
Author:陆见 |
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Description: 一种基于模糊神经网络的控制策略，融合了模糊控制和神经网络的优点，根据变量的动态调整实施控制器的动态参数调整-Based on fuzzy neural network control strategy, the convergence of fuzzy control and neural network advantages, in accordance with the dynamic adjustment of the implementation of variable controller to adjust the dynamic parameters Platform: |
Size: 232448 |
Author:周炜 |
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Description: 用BP神经网络实现模糊控制规则为T=int[(e
+ec)/2]的模糊神经网络控制器。可以改变隐层节点数和学习速率。网络训练算法是变学习速率法。-BP neural network with fuzzy control rules for the T = int [(e+ Ec)/2] of the fuzzy neural network controller. Can change the hidden layer nodes and learning rate. Network training algorithm is a variable learning rate method. Platform: |
Size: 4096 |
Author:韩梅 |
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Description: 关于Mass-Damper-Spring System 的鲁棒控制源代码-About Mass-Damper-Spring System Robust Control of source code Platform: |
Size: 2048 |
Author:zcy |
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Description: 为了提高三级倒立摆系统控制的响应速度和稳定性,在设计Mamdani 型模糊推理规则控制器控制倒立摆系统稳定的基础上,
设计了一种更有效率的基于Sugeno 型模糊推理规则的模糊神经网络控制器。该控制器使用BP 神经网络和最小二乘法的混
合算法进行参数训练,能够准确归纳输入输出量的模糊隶属度函数和模糊逻辑规则。通过与Mamdani 型控制器的仿真对比,
表明该Sugeno 型模糊神经网络控制器对三级倒立摆系统的控制具有良好的稳定性和快速性,以及较高的控制精度。-In order to improve the three-level control of inverted pendulum system response speed and stability, in the design of Mamdani-type fuzzy inference rules of the system controller to control the stability of inverted pendulum on the basis of a more efficient design based on Sugeno-type fuzzy inference rules of fuzzy neural network controller. The controller is the use of BP neural network and hybrid least squares training algorithm parameters can be accurately summed up the amount of input and output fuzzy membership function and fuzzy logic rules. Mamdani-type controller with a simulation comparison shows that the Sugeno-type fuzzy neural network controller for the three-tier control of inverted pendulum system with good stability and fast, as well as a higher control precision. Platform: |
Size: 551936 |
Author:月到风来AA |
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Description: These set of programs are written to design a robust power system stabilizer for minimizing the effects of low frequency oscillations in electric power systems. A complete nonlinear model of the power system represented by a single machine connected to an infinite bus is developed in the Simulink environment. A fuzzy Power System Stabilizer is designed using the fuzzy logic toolbox of matlab and its parameters are tuned by a NEural Network controller. Platform: |
Size: 15360 |
Author:al-amin |
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Description: 不用到matlab工具箱，进行神经网络控制器设计，采用BP方法-Do not have to matlab toolbox, the neural network controller design, using BP method Platform: |
Size: 1024 |
Author:海朝 |
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Description: 摘要：为了减少先验知识对统一潮流控制器中模糊规则的设计和电力系统参数的变化对统一潮流控制器性能的影响， 文中采用模糊神经网络来设计统一潮流控制器-Abstract: In order to reduce a priori knowledge of the unified power flow controller in the fuzzy rules in the design and power system parameters on the unified power flow controller performance, the paper design of fuzzy neural networks to a unified power flow controller Platform: |
Size: 256000 |
Author:唐传胜 |
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