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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
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基于二进制编码遗传算法的ＰＩＤ整定的仿真程序-Binary-coded genetic algorithm based on the PID tuning the simulation program
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吊车双摆的控制，普通的PID控制难以实现-Double pendulum crane control, ordinary PID control difficult to achieve
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有用的matlab遗传算法整定模糊pid论文-Useful matlab genetic algorithm-tuning fuzzy pid Papers
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二进制的遗传算法整定pid的参数，用于遗传算法的初步学习-Binary genetic algorithm-tuning the pid parameter for the genetic algorithm preliminary study
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基于二进制编码的遗传算法PID参数整定,示例-Based on the binary-coded genetic algorithm PID parameter tuning
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遗传算法优化PID，解决传统的PID参数采用试凑的方式的问题，从而进行自整定参数-
Genetic Algorithm PID，Solve using traditional PID parameters of trial and error approach problems in order to be self-tuning parameters
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函数功能是基于实数编码遗传算法的PID整定-Function function is based on real-coded genetic algorithm tuning PID
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程序的功能是：基于自适应在线遗传算法整定的PID控制-Functions of the program are: genetic algorithm based on adaptive online tuning PID control
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通过遗传算法来确定PID控制器的参数问题，仿真程序可用，运行环境为matlab-By using the genetic algorithm to the optimal parameters of the PID, the program can be run, the operating environment for the MATLAB
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使用MATLAB gatbx遗传算法工具箱自动进行PID参数整定，可动态显示迭代优化过程，对遗传算法和工业自动化PID参数整定方法的学习都有很大的帮助！-Automatically PID parameter tuning based on MATLAB gatbx genetic algorithm toolbox ，and can be dynamically displayed the calculate process.It s very helpful for the genetic
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将遗传算法应用于PID整定。可完美运行,效果已测试，可达到较好的控制效果-Applying Genetic Algorithm for the PID parameters fine tuning.
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本文使用遗传算法对pid进行在线整定，效果明显有于传统pid(In this paper, the genetic algorithm for pid online tuning, the effect is obvious in the traditional pid)
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基于遗传算法整定的pid控制，遗传算法函数极大值，基于遗传算法的pid整定(PID control based on genetic algorithm tuning, genetic algorithm function maximum, PID tuning based on genetic algorithm)
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该程序为微粒群算法与遗传算法求解pid参数整定MATLAB程序，优化结果包含参数输出与参数曲线变化图。(The program solves the PID parameter tuning MATLAB program for particle swarm optimization and genetic algorithm, and the optimization results include parameter output and parameter curve change dia
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