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一种基于模糊径向基函数神经网络的自学习控制器-based on fuzzy RBF neural network learning controller.
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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, ther
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为了便于进行形象化的理解,本章进行了控制结果的可视化编程。利用Matlab与Borland C++ Builder的程序开发接口,通过建立独立的可执行程序,演示了控制过程中对熨平板进行调节的过程。最终认为,PID控制和人工神经网络控制对控制速度和精度都有了很多的改善;对摊铺机自动调平装置而言,其控制器的设计占有重要的地位。 -To facilitate figurative understanding of this chapter for the control of the results
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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
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神经网络控制器,清华智能控制课上小作业,自己编写的程序-Neural network controller, intelligent control class Tsinghua small jobs, I have written procedures
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这是一个bp神经网络+PID控制器对飞行器控制系统的VHDL程序,其中模块并不完全,但大体模块都有,很有参考意义-This is a bp neural network controller for aircraft control system+PID VHDL program, which the module is not complete, but generally module has great reference significance
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二关节机械手的模糊小脑模型(CMAC)神经网络控制器MATLAB代码,网上少有。代码是纸质版转化的,苦劳啊。-Fuzzy cmac neural network controller matlab code for 2-link robotic manipulator.
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MATLAB编写的几个神经网络控制器的简单历程,包括感应机、前向网络等。-Several neural network controller to write a simple process of MATLAB, including the induction machine, forward networks.
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这个程序为基于神经网络的PID控制器,控制器的程序可用,运行的平台为matlab-This procedure for the PID controller based on neural network, the program can be run controller, the platform for matlab
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基于神经网络的PID控制器设计及Matlab仿真-PID controller design based on neural network and Matlab simulation
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根据PID神经元网络控制器原理,在matlab中编程实现PID神经元网络控制多变量耦合系统。-According to the principle of PID neural network controller in matlab programming to realize the PID neural network control multivariable coupling system.
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用MATLAB实现的神经网络控制器设计程序以及性能测试仿真程序-MATLAB neural network controller design procedure and the performance test simulation program
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用MATLAB实现的神经网络控制器设计程序以及性能测试仿真程序-MATLAB neural network controller design procedure and the performance test simulation program
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用MATLAB实现的神经网络控制器设计程序以及性能测试仿真程序-MATLAB neural network controller design procedure and the performance test simulation program
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用MATLAB实现的神经网络控制器设计程序以及性能测试仿真程序(MATLAB neural network controller design procedure and the performance test simulation program)
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使用labview编写的神经网络控制器。(A neural network controller written using labview.)
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Radial Basis Function (RBF) Neural Network Control for Mechanical Systems is motivated by the need for systematic design approaches to stable adaptive control system design using neural network approximation-based techniques. The main objectives of t
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根据所学过的BP网络设计及改进方案设计实现模糊控制规则为T = int((e+ec)/2)的模糊神经网络控制器,其中输入变量e和ec的变化范围分别是:e = int[-2, 2],ec = int[-2, 2]。网络设计的目标误差为 0.001。(According to the BP network design and improvement plan that we have learned, we design a fuzzy neural network controller with
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用于对比分析三种励磁方式下控制器性能比较,有常规控制器,模糊控制器,神经网络控制器。(Used for comparative analysis of three kinds of excitation mode controller performance comparison,a conventional controller, fuzzy controller, neural network controller.)
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实现控制规则为T=int((e+e1)/2)的模糊神经网络控制器(A fuzzy neural network controller with T=int ((e+e1) /2) control rule is implemented.)
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