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: 神经网络预测控制程序的源代码，神经网络的种类是径向基函数神经网络-Neural network predictive control program s source code, neural network is the type of radial basis function neural network Platform: |
Size: 162816 |
Author:张磊 |
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Description: 一种改进的神经网络非线性预测控制 这方面的文章虽然不少，但写的好的没有几篇-An improved neural network nonlinear predictive control in this area despite the fact that many of the article, but did not write a good few Platform: |
Size: 454656 |
Author:webyl |
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Description: 针对工业控制过程中的实际问题，对神经网络预测控制进行了深入的研究，提出
了两种新的智能预测控制算法。并结合混合仿真平台，以平台中非线性单变量与多变量系
统为控制对象，将部分算法应用于实际控制中。-For industrial control in the process of practical problems, neural network predictive control of an in-depth research, we propose two new intelligent predictive control algorithm. Combined with hybrid simulation platform to platform non-linear single-variable and multi-variable system for the control of objects, some of the actual control algorithm is applied. Platform: |
Size: 1364992 |
Author:zenghui |
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Description: 基于Matlab环境编写的一些神经网络PID控制和模糊PID控制源代码，其中包含BP pid，CMAC PID,RBF PID，BP数值逼近算法，BP预测控制以及模糊PID。-Matlab-based environment for the preparation of a number of neural network PID control and fuzzy PID control of the source code, which includes BP pid, CMAC PID, RBF PID, BP Numerical approximation algorithm, BP predictive control and fuzzy PID. Platform: |
Size: 9216 |
Author:但杨文 |
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Description: Generalized predictive Control based on neural networks 基于神经网络的预测控制，是spinger数据库中的一片论文，对学习神经网络预测控制有一定的借鉴意义-Generalized predictive Control based on neural networks based on neural network Platform: |
Size: 270336 |
Author:liudongxiao |
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Description: 关于在火电单元机组中神经网络预测控制的论文,有仿真,-On the thermal power unit in the neural network predictive control of the paper, there are simulation, Platform: |
Size: 820224 |
Author:伊毅 |
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Description: LmNet PF 神经网络预测平台是公司基于最优神经网络算法(Levenberg-Marquardt动量项法)开发的通用预测平台工具。它是针对用户进行预测需要，快速构建神经网络应用的通用预测平台，它能解决包括销售量预测、销售价格预测、成本预测、市场潜力预测、新产品价格预测等方面的预测分析。功能包括：新建、修改网络模型；网络训练；网络仿真；误差分析；专家样本数据自动生成；节点配置；数据归一化处理；网络参数初始化设置等。~..~
-Neural Network Prediction LmNet PF platform is based on the optimal neural network algorithm (Levenberg-Marquardt momentum of Law) predict the development of common tools platform. It is for users to predict the need for rapid construction of the universal application of neural network forecasting platform, it can solve, including sales forecasts, sales price forecasts, cost projections, the forecast market potential of new products, price forecasts for the areas of predictive analysis. Features include: new, modify the network model network training network simulation error analysis experts automatically generate sample data node configuration data normalization network settings such as initialization parameters. ~ .. ~ Platform: |
Size: 14720000 |
Author:fbia |
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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: 电子书包含了MATLAB在神经网络控制、模糊逻辑控制、预测控制方面的应用介绍，每一部分都包括基本控制理论的介绍和MATLAB对应工具箱的介绍和实现方式。 智能控制及其MATLAB实现-E-book contains the MATLAB neural network control, fuzzy logic control, predictive control applications introduction, each part including the introduction of basic control theory and the corresponding MATLAB toolbox of presentation and implementation. Implementation of Intelligent Control and MATLAB Platform: |
Size: 6266880 |
Author:gongshulei |
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Description: 广义预测控制是一种最具代表性的预测控制算法之一，本文通过对广义预测控制的稳定性、鲁棒性和实时性分析，得知它控制方程复杂、计算量过大、不利于实时控制。为此，广义预测控制算法，然后进行参数选择的研究，并针对冷连轧机张力系统进行了仿真，最后介绍了广义预测控制算法的其它改进方法。-Generalized predictive control is one of the most representative predictive control algorithms. This paper analysis the stability, robustness and real-time, But it has lots of calculations and unfavorable real-time. So this paper gives the algorithm of based on BP neural network of generalized predictive control. Then it analysis the system and the parameter selection, do some simulations to the cold continuous rolling machine tension system. Platform: |
Size: 2048 |
Author:yuezhihen |
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Description: 《智能预测控制及其MATLAB实现(第2版)》系统地论述了神经网络控制、模糊逻辑控制和模型预测控制的基本概念、工作原理、控制算法，以及利用MATLAB语言、MATLAB工具箱函数和Simulink对其实现的方法。该书取材先进实用，讲解深入浅出，各章均有相应的例题，并提供了大量用MATLAB/Simulink实现的仿真实例，便于读者掌握和巩固所学知识。-Intelligent predictive control and MATLAB (2nd edition) described the neural network control, fuzzy logic control and model predictive control of the basic concepts, working principles, control algorithms, as well as using MATLAB, the MATLAB toolbox functions and Simulinkits implementation. The book is advanced and practical material, explain simple terms, each chapter has a corresponding example, and implemented using MATLAB/Simulink simulation examples, easy readers and to consolidate the knowledge. Platform: |
Size: 7080960 |
Author:panleiq |
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Description: 本程序是对程序_脱丙烷塔_神经网络预测控制，使用的软件包含UniSim,Matlab,VB-This procedure is the procedure _ depropanizer _ neural network predictive control, the use of software including UniSim, Matlab, VB Platform: |
Size: 3233792 |
Author:li changyou |
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