搜索资源列表
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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 process simulation and performance testing procedures
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关于Mass-Damper-Spring System 的鲁棒控制源代码-About Mass-Damper-Spring System Robust Control of source code
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RBF神经网络用s函数编程的，主要功能是用作控制器-RBF neural network with programming function s main function is used as a controller
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< 控制系统计算机辅助设计--MATLAB语言与应用>>系统地介绍了国际控制界最流行的控制系统计算机辅助设计语言MATLAB，侧重于介绍MATLAB语言编程基础与技巧、数学问题的MATLAB求解、线性系统计算机辅助分析、控制系统与其他复杂系统的Simulink建模，控制系统的计算机辅助设计方法，包括串联控制器、状态反馈控制器、多变量系统频域设计、PID控制器设计、最优控制器设计、LQG/LTR控制器设计、H2=H1 最优控制、分数阶控制、自适应控制、模糊控制、神经网络控制、遗传
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关于神经网络非线性系统的辨识，模糊控制器等程序。-With regard to neural network, nonlinear system identification, fuzzy controller and other procedures.
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it is algo por neural network pid controller anation and optimization algo
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matlab 基于PID控制器的BP神经网络系统的仿真-matlab PID controller based on BP neural network system simulation
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采用神经网络控制的方法。利用人工神经网络的自学习这一特性，并结合传统的PID控制理论，构造神经网络PID控制器，实现控制器参数的自动调整-Control method using neural network. Artificial neural network to learn the characteristics of the self, combined with the traditional PID control theory, structural neural network
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神经网络控制器的matlab实现，已经上传，希望能给需要的同志一些帮助-The neural network controller matlab realize, has been uploaded, I hope to give comrades need some help
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The matlab code for PID, Neural Network Controller
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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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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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基于神经计算的增量式PID控制器学习算法。被控对象为非线性控制系统。-keyword：PID controller 、 neural network、MATLAB
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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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这个程序是基于RBF神经网络的PID控制器程序，控制器程序可用，运行的平台为matlab-This program is a program of PID controller based on RBF neural network, the controller program is available, operating platform for matlab
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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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neural network controller using matlab simulink
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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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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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