Location:
Search - pid nn
Search list
Description: 神经网络与pid混合控制源程序，可以很好的解决非线性控制问题
Platform: |
Size: 1141 |
Author: 李凯 |
Hits:
Description: 基于神经网络的PID控制不是用神经网络来整定PID的参数，而是用神经网络直接作为控制器，通过训练神经网络的权系数间接地调整PID参数。-based on neural network PID control is not using neural networks to PID parameters, Rather, as a neural network controller directly, through the training of the neural network weights indirectly PID parameters to adjust.
Platform: |
Size: 69632 |
Author: 戚伟 |
Hits:
Description: 遗传bp神经网络在pid控制器中的应用,多多指教-genetic bp pid neural network controller in the application of the exhibitions! !
Platform: |
Size: 84992 |
Author: angel |
Hits:
Description: 支持向量机原理，对支持向量机进行了高度概括的总结和介绍。可以使初学者尽快地了解和熟悉支持向量机。-SVM principle of support vector machines for a high-level summary of the summary and introduction. Beginners can quickly understand and become familiar with SVM.
Platform: |
Size: 477184 |
Author: 吴生 |
Hits:
Description: 利用神经网络自校订、自学习功能在线整定PID-using neural network self-editing, self-learning function online tuning PID
Platform: |
Size: 1024 |
Author: zhang |
Hits:
Description: 该算法是综合遗传算法和神经网络算法的综合性算法，用来对一些参数进行优化，可收到很好的效果。-the algorithm is integrated genetic algorithms and neural network algorithm integrated algorithm, used to optimize the parameters can be received very good results.
Platform: |
Size: 468992 |
Author: 周燕 |
Hits:
Description: 一个很好的将遗传算法和神经网络结合的matlab程序-Will be a good genetic algorithm and neural network matlab combination of procedures
Platform: |
Size: 4096 |
Author: qiushili |
Hits:
Description: 基于小波神经网络的PID控制Matlab仿真,有代表性,值得研究-Based on Wavelet Neural Network PID Control Matlab simulation, representative, is worth studying
Platform: |
Size: 2048 |
Author: 黄同成 |
Hits:
Description: 基于BP神经网络的 参数自学习控制
（1）确定BP网络的结构，即确定输入层节点数M和隐含层节点数Q，并给出各层加权系数的初值 和 ，选定学习速率 和惯性系数 ，此时k=1；
（2）采样得到rin(k)和yout(k)，计算该时刻误差error(k)=rin(k)-yout(k)；
（3）计算神经网络NN各层神经元的输入、输出，NN输出层的输出即为PID控制器的三个可调参数 ， ， ；
（4）根据(3.34)计算PID控制器的输出u(k)；
（5）进行神经网络学习，在线调整加权系数 和 ，实现PID控制参数的自适应调整；
（6）置k=k+1，返回（1）。
-Based on the parameters of BP neural network self-learning control (1) to determine the structure of BP network, that is, determine the input layer nodes M and hidden layer nodes Q, and gives all levels of the initial value and the weighted coefficient, the selected learning rate and inertia coefficient, when k = 1 (2) sample has been rin (k) and the yout (k), calculate the moment of error error (k) = rin (k)-yout (k) (3) calculation of neural network NN all floors of the neurons in input and output, NN output layer is the output of PID controller for the three adjustable parameters,, (4) According to (3.34) Calculation of PID controller output u (k) (5) to carry out neural network learning, on-line adjustment of the weighted coefficient and, realize the adaptive PID control parameters adjust (6) purchase k = k+ 1, return (1).
Platform: |
Size: 1024 |
Author: dake |
Hits:
Description: JLAB is a set of Matlab functions I have written or co-written over the past fifteen years for the purpose of analyzing data. It consists of four hundred m-files spanning thirty thousand lines of code. JLAB includes functions ranging in complexity from one-line aliases to high-level algorithms for certain specialized tasks. These have been collected together and made publicly available for you to use, modify, and --- subject to certain very reasonable constraints --- to redistribute.
Some of the highlights are: a suite of functions for the rapid manipulation of multi-component, potentially multi-dimensional datasets a systematic way of dealing with datasets having components of non-uniform length tools for fine-tuning figures using compact, straightforward statements and specialized functions for spectral and time / frequency analysis, including advanced wavelet algorithms developed by myself and collaborators.
-JLAB is a set of Matlab functions I have written or co-written over the past fifteen years for the purpose of analyzing data. It consists of four hundred m-files spanning thirty thousand lines of code. JLAB includes functions ranging in complexity from one-line aliases to high-level algorithms for certain specialized tasks. These have been collected together and made publicly available for you to use, modify, and--- subject to certain very reasonable constraints--- to redistribute.
Some of the highlights are: a suite of functions for the rapid manipulation of multi-component, potentially multi-dimensional datasets a systematic way of dealing with datasets having components of non-uniform length tools for fine-tuning figures using compact, straightforward statements and specialized functions for spectral and time/frequency analysis, including advanced wavelet algorithms developed by myself and collaborators.
Platform: |
Size: 3008512 |
Author: chenxuzhen |
Hits:
Description: 提出了一种基于小波神经网络整定的PID 控制方法。由于小波变换具有良
好的时频局部特性,神经网络具有强大的非线性映射能力,自学习、自适应等优势,采用规
范正交的小波函数作为神经网络的基函数构成小波神经网络,该网络兼有小波函数的紧
支性、波动性以及神经网络的非线性映射能力,自学习、自适应能力等优点,渗碳炉控制实
验结果表明,用该方法整定的PID 控制系统收敛速度快,逼近精度高,鲁棒性好-Based on wavelet neural network-tuning of PID control methods. Since the wavelet transform has good time-frequency localization properties, neural network has strong ability of nonlinear mapping, self-learning, adaptive and other advantages, the use of standardized orthogonal wavelet function as a neural network constitutes a wavelet basis function neural network, the network a combination of compactly supported wavelet function, and volatility as well as the neural network nonlinear mapping ability, self-learning, adaptive capacity, etc., carburizing furnace control experimental results show that using this method of tuning PID control system for fast convergence approximation of high accuracy, good robustness
Platform: |
Size: 192512 |
Author: guole |
Hits:
Description: 神经网络抗扰例子，通过动态调整PID参数，可以在新的对象模型下迅速稳定。-Neural network disturbance rejection example, through dynamic adjustment of PID parameters can be in the new object model rapidly stability.
Platform: |
Size: 1024 |
Author: 王银海 |
Hits:
Description: nn modelling and auto-pid controller
Platform: |
Size: 14336 |
Author: fling |
Hits:
Description: 神经网络与pid混合控制源程序，可以很好的解决非线性控制问题-Neural network and hybrid control pid source can be a very good solution to nonlinear control problems
Platform: |
Size: 1024 |
Author: 李凯 |
Hits:
Description: 采用S函数写的多变量单神经元PID控制的SIMULINK仿真-NN PID CONTROLLER WRITED BY S FUNCTION
Platform: |
Size: 1024 |
Author: 李林 |
Hits:
Description: PD型的迭代学习控制程序，可以用于控制一个单臂机械手等，比Pid算法简单一点，但效果不如pid简单-PD-type iterative learning control procedures can be used to control a robot arm and so on, Pid algorithm than a simple point, but not as good as simple pid
Platform: |
Size: 1024 |
Author: 王伟 |
Hits:
Description: code for pid controller using bpn -code for pid controller using bpn nn
Platform: |
Size: 1024 |
Author: Ashish Panpalia |
Hits:
Description: BP神经网络整定的PID算法_matlab源程序-BP neural network tuning PID algorithm _matlab source
Platform: |
Size: 7168 |
Author: qi |
Hits:
Description: BP神经网络正定的PID控制器，实现正弦跟踪和阶跃跟踪-BP-NN-PID control
Platform: |
Size: 11264 |
Author: 李东 |
Hits:
Description: 对于三输入三输出系统，利用PID神经元网络解耦控制，最终实现了多变量的解构控制-For a three input and three output system, the use of PID neural network decoupling control, and ultimately deconstruct multivariable control
Platform: |
Size: 2048 |
Author: 晓晓 |
Hits: