搜索资源列表
controlpidbybp
- 没什么好东西!只是BP,PID算法而已!可以看看过得去-nothing good things! Only BP, PID algorithm! Can look at the little things
BB
- 基于bp神经网络的pid控制算法,可以有效的控制滞后对象
ANN-PID
- 神经网络PID控制算法仿真实例,有很好的参考价值
SingleNeuralNetPID
- 用MATLAB实现的单神经元PID算法程序
chap1
- pid控制算法和MATLAB仿真。主要实现自动控制中的算法
CHAP3_3
- 这是我编写的一段模糊免疫PID的算法,对大家应该有些启发,可以在MATLAB下直接运行
PID
- 数字PID算法的详细介绍,并利用算法进行PID仿真。-Digital PID algorithm in detail, and use of PID algorithm simulation.
pid
- pid算法的c源代码,你会轻松的收获到很多的知识。-pid is diaed c。also you can describle in a good way
chap2_5
- PID控制,可以实现大延迟和史密斯PID控制算法。-PID control, and can achieve large delay and Smith PID control algorithm.
ga-pid
- 基于遗传算法的pid参数优化-The pid parameter optimization based on genetic algorithm
2812-PID-(1)
- PID算法 控制算法 初学者可以参考-failed to translate
PID-MATLAB
- ID 控制是最早发展起来的控制策略之一,由于其算法简单、鲁棒性好和可靠性高,被 广泛应用于过程控制和运动控制中,尤其适用于可建立精确数学模型的确定性控制系统。-D control is one of the earliest control strategy developed, due to its simple algorithm, good robustness and high reliability, is Widely used in process control a
pid
- 关于pid控制算法的简短的源码,希望对有用的人有所帮助。-Pid control algorithm on a brief source, useful for those who want to help.
STM32-Moror-PID
- 基于STM32的PID控制直流电机,详细设计PID算法,矢量控制。-STM32 PID control of DC motor based on PID algorithm, the detailed design, vector control.
PID-control-and-Matlab-simulation
- PID控制的算法描述,里面基本包括了PID控制的所有类型。-PID control algorithm is described, the basic includes all types of PID control.
抗积分饱和PID控制算法及仿真
- 抗积分饱和PID控制算法及仿真,含有积分饱和的算法代码(Anti - integral Saturation PID Control Algorithm and Simulation)
PID-control
- 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.)
PID算法
- PID代码的实现,各种代码的实现,详细的解释,非常好的学习教程(PID code to achieve a variety of code to achieve a detailed explanation, a very good learning tutorial)
PIDMATLABcode
- 先进pid 算法的matlab实现,里面附有实例和源码(Matlab implementation of advanced pid algorithm, with examples and source code)
基于人群搜索算法的PID参数整定
- 第7章 基于人群搜索算法的PID参数整定,代码完整好使。(In Chapter 7, PID parameters are adjusted based on crowd search algorithm, and the code is complete.)