搜索资源列表
GA_PID
- 此程序代码为基于遗传算法的PID整定,利用MATLAB编程实现。该程序通过遗传算法实现参数寻优,是一种不需要任何初始信息并可以寻求全局最优解的、高效的优化组合方法。-this procedure code based on genetic algorithms for PID tuning, using MATLAB programming. The procedures through genetic algorithm optimization of the parameters. is a
chap5_1
- 基于实数编码遗传算法的PID整定,采用误差绝对值积分性能指标作为参数选择的最小目标函数-real-coded genetic algorithm PID tuning, integral absolute error performance parameters as the minimum objective function
chap5_5
- 基于自适应在线遗传算法整定的PID控制,每个采样时间分别对PD参数进行整定-based on adaptive online genetic algorithm tuning PID control, sampling each time the PD parameters tuning
mohuzishiyingzhengding
- 模糊自适应整定PID控制,利用模糊控制规则在线对PID参数进行修改-fuzzy adaptive tuning PID control, fuzzy control rules online right PID parameter changes
PID_zongshu
- PID参数自整定的综述,总结了各种自整定pid参数的方法,作了比较。-self-tuning PID parameters of the reviewed and the various self-tuning pid, a method were compared.
fun_fuzzy-feedbace
- matlab写的模糊整定PID参数的子函数 -Matlab write fuzzy PID tuning parameters Functions written in Matlab fuzzy tuning PID Parameters of Functions written in Matlab fuzzy PID tuning parameters Functions written in Matlab fuzzy setting P ID parameter Functions
matlab_3
- 基于BP神经网络整定的PlD控制,神经网络,根据系统的运行状态,调节PID控制器的参数,以期达到某种性能指标 的最优化,使输出层神经元的输出状态对于控制器的三个可调参数
GenericAlgorithmPID
- 应用MATILAB编程实现了遗传算法整定PID控制器参数,并应用于一阶延迟模型的控制,并进行了阶跃响应仿真。
fuzzypid
- 在matlab环境下编程实现了应用模糊控制理论整定PID控制器参数,并对已知模型进行阶跃响应仿真实验。
chap3_2
- 模糊算法PID控制器参数再线自动整定MATLAB程序-Fuzzy PID controller then automatically tuning MATLAB
shenjing
- 利用神经网络度pid参数进行整定,优化参数-Pid degrees using neural network tuning parameters, and optimize the parameters
CHAP4_3
- 基于BP神经网络的PID参数自整定的研究 是M文件,控制效果非常好-Based on BP Neural Network PID parameter self-tuning of the Study are M documents, control has very good results
fadongjiMBP
- 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
work
- 4:1衰减法PID参数自整定,MATLAB7环境下调试通过-4:1 attenuation PID parameter self-tuning, MATLAB7 debugging environment through
AntAlgorithmBerlin52
- 本算法为蚂蚁算法,主要解决了Berlin52的路径规划问题。蚂蚁算法可以用于路径的规划,和PID参数的整定,是一种仿生智能算法!-This algorithm ant algorithm solves the problem of Berlin52 path planning problems. Ant algorithm can be used for path planning, and PID parameter tuning, is a kind of intelligent bioni
PIDjidian
- 采用继电法对PID参数进行整定,实现PID参数的获得-Method using relay tuning PID parameters, PID parameters to achieve access to
BP_neural_network_based_on-line_tuning_of_PID_para
- 论文《基于BP神经网络的参数在线整定的PID实时控制》-BP neural network based on-line tuning of PID parameters of real-time control
ANN-to-control-the-algorithm
- 基于BP神经网络的PID控制,利用神经网络的自学习、非线性和不依赖模型等特性实现PID参数的在线自整定,充分利用PID和神经网络的优点。-BP neural network based PID control, self-learning neural network, nonlinear and non-dependent model and other characteristics to achieve PID parameters on-line self-tuning, full us
dc
- 利用免疫克隆算法整定pid参数,来控制直流电机-Immune clonal algorithm using pid tuning parameters to control the DC motor
PI_GPC_1
- 比例积分型的GPC,由新的目标函数解出的控制率与常规PI控制有着一样的形式,这样就获得了一种具有PI结构的广义预测控制,而且其参数 、 有着明显的工程意义,整定原则基本类似于PID。-Proportional-integral-type GPC, the new objective function solution of the control rate with conventional PI control has the same form, so to obtain a PI stru