Description: 用神经网络来控制一阶倒立摆，给出matlab的simulink仿真-neural network to control a band inverted pendulum, is Matlab Simulink simulation Platform: |
Size: 8192 |
Author:张得 |
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Description: 基于bp神经网络pid控制程序设计（运行程序后相关的仿真图形）-bp- based neural network design pid control procedures (Operating procedures related to the simulation graphics) Platform: |
Size: 2048 |
Author: |
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Description: 基于Matlab的BP神经网络建模及仿真。将Matlab中的神经网络工具箱和Simulink有机结合起来，并充分利用它们各自的优势，实现了神经网络控制系统的计算机仿真。-Matlab based on the BP neural network modeling and simulation. The Matlab Neural Network Toolbox and Simulink combine and make full use of their respective advantages, the realization of a neural network control system of the computer simulation. Platform: |
Size: 30720 |
Author:飞猫 |
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Description: 摘要
本文在对永磁同步电动机进行电磁分析设计的基础上，采用MATLABISIMULINK仿真工具对控制系统分别采用PID控制、神经网络控
制的情况进行了仿真分析。-Abstract In this paper, permanent magnet synchronous motor for electromagnetic analysis and design, based on the simulation tool used MATLABISIMULINK on the control system were used PID control, neural network control of a simulation analysis. Platform: |
Size: 2223104 |
Author:王大钊 |
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Description: Matlab 神经网络离散PID控制实例，在Simulink环境中搭载仿真模块即可实现，结果图效果不错-Matlab neural network PID control of discrete examples, in the Simulink environment with simulation module can be realized, the results of Fig good results Platform: |
Size: 6144 |
Author:张然 |
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Description: 《MATLAB控制系统仿真与实例详解》一书的光盘源码。图书简介：本书详细地讲解了MATLAB 7.x的功能与相关操作以及MATLAB在控制系统中的仿真应用。本书内容包括控制系统仿真基础、MATLAB程序设计语言基础、控制系统理论基础、Simulink交互式仿真环境、控制系统建模、线性控制系统的分析与仿真、PID控制系统设计及仿真、最优控制系统设计、鲁棒控制系统设计、神经网络系统设计及其MATLAB实现、模糊控制系统设计和系统辨识。
-" MATLAB Control System Simulation and explain examples of" one-source book on CD-ROM. Book Description: This book explain in detail the function of the MATLAB 7.x and related operations and MATLAB in the control system simulation applications. The book includes basic control system simulation, MATLAB programming language basic, basic control system theory, Simulink interactive simulation environment, control system modeling, linear control system analysis and simulation, PID control system design and simulation, optimal control system design, robust control system design, neural network system design and MATLAB implementation, fuzzy control system design and system identification. Platform: |
Size: 41984 |
Author:时光 |
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Description: 伺服电机的神经网络参数自整定程序，利用BP误差反向传播算法改变PID 控制参数以获得优越的控制效果-Servo motor parameters of the neural network self-tuning procedures, the use of error back-propagation algorithm BP to change PID control parameters for superior control Platform: |
Size: 1024 |
Author:阿满 |
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Description: 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 impossible to run. Platform: |
Size: 20480 |
Author:时光 |
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Description: 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 Platform: |
Size: 11264 |
Author:Charly |
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Description: 包含Simulink在控制系统、人工神经网络中的应用-With Simulink in the control system, the application of artificial neural network Platform: |
Size: 373760 |
Author:丁豆 |
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Description: < 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、遗传算法优化控制等。本电子文档为其源码光盘内容，源码多多，利于学习参考。-"" Control System for Computer-Aided Design- MATLAB language and application of "" a systematic introduction to the international control of world s most popular computer-aided control system design language MATLAB, introduced the MATLAB language programming focusing on the foundation and skills, the MATLAB mathematical problem solving, computer-aided analysis of linear systems, control systems and other complex systems Simulink modeling, control system, computer-aided design methods, including serial controller, state feedback controller, multi-variable system, frequency-domain design, PID controller design, optimal controller design, LQG/LTR controller design, H2 = H1 optimal control, fractional order control, adaptive control, fuzzy control, neural network control, genetic algorithm to optimize control. This electronic document its source code CD-ROM content, source code lot, conducive to learning for reference. Platform: |
Size: 2137088 |
Author:任勇 |
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Description: Developing Models from Experimental Data using System Identification Toolbox-1. webinar_walk_through.m: contains all the linear and nonlinear estimation examples presented during the webinar.
2. Data files and Simulink models: process_data.mat, ExampleModel.mdl, Friction_Model.mdl. Any other data files used in the presentation already ship with the toolbox (ver 7.0).
Products used:
- You basically need only System Identification Toolbox (SITB) to try out most examples.
- To use Simulink blocks, you would, of course, need Simulink.
- Control System Toolbox is used at one place to show how estimated models can be converted into LTI objects (SS, TF etc)
- Optimization Toolbox will be used if available for grey box estimation. If not, SITB s built-in optimizers will be used automatically.
- Other products mentioned: Neural Network Toolbox, Model Predictive Control Toolbox and Robust Control Toolbox.
Platform: |
Size: 34816 |
Author:陈翼男 |
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Description: Simulink 控制VR环境中的小车。小车有5个距离传感器，能够慢慢学会避开墙壁和障碍物。小车采用加强学习（Q learning），采用神经网络对Q函数逼近。由于使用了模拟退火，小车在开始的时候会经常撞击障碍物，10次后基本就不会再撞了。
小车的外观模型使用了"w198406141"在本论坛的虚拟现实区发布的VR模型。-VR environment Simulink control car. There are 5 car distance sensor, can gradually learn to avoid walls and obstacles. Car used to enhance learning (Q learning), using neural networks Q function approximation. As the use of simulated annealing, the car will start when the regular crash barrier, 10 times the fundamental will no longer hit. The appearance model used car " w198406141" in this forum area of virtual reality VR model release. Platform: |
Size: 12288 |
Author:gao |
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Description: Simulink 控制VR环境中的小车。小车有5个距离传感器，能够慢慢学会避开墙壁和障碍物。小车采用加强学习（Q learning），采用神经网络对Q函数逼近。由于使用了模拟退火，小车在开始的时候会经常撞击障碍物，10次后基本就不会再撞了。
-VR environment Simulink control car. There are 5 car distance sensor, can gradually learn to avoid walls and obstacles. Car used to enhance learning (Q learning), using neural network Q function approximation. As the use of simulated annealing, the car in the beginning often hit obstacles, and then ,10 times later, it shouldn t happen. Platform: |
Size: 179200 |
Author:zhangziyang |
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Description: 该MDL主要通过Matlab Simulink实现神经网络的PID控制，两个例子中神经网络模块分别利用Simulink\User-Defined Functions\MATLAB Fcn和S函数方式实现。在S函数中引入T,nh,xite,alfa,kf1,kf2等参数，在S-Function模块的Parameters处予以初始化。并附带了S函数的使用方法，供大家学习Simulink中两种自定义模块的使用方法。(The MDL mainly through the Matlab Simulink neural network PID control, two examples, neural network module using Simulink\User-Defined, Functions\MATLAB, Fcn and S function way to achieve. In the S function, T, NH, xite, Alfa, KF1, KF2, and other parameters are introduced and initialized at the Parameters of the S-Function module. And accompanied by the use of S function, for everyone to learn Simulink two custom modules in the use of methods.) Platform: |
Size: 34816 |
Author:春眠不觉
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Description: 各种PID控制源代码，包括神经网络、粒子群、遗传算法等职能算法的PID控制。(Various PID control source code, including neural networks, particle swarm, genetic algorithms and other functions of the algorithm PID control.) Platform: |
Size: 5229568 |
Author:付家千金
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