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粒子群算法优化pid源码 matlab仿真

于 2021-04-25 发布文件大小:38KB

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粒子群算法（PSO）整定pid控制参数，比传统Z-N整定方法要好，内附matlab程序与simulink模型(Particle swarm optimization (PSO) is better than traditional Z-N tuning method in tuning PID control parameters. It includes matlab program and Simulink model.)

文件列表：

粒子群算法优化pid源码 matlab仿真\PSO.png, 2679 , 2008-06-11
粒子群算法优化pid源码 matlab仿真\PSO_01.png, 4307 , 2008-06-11
粒子群算法优化pid源码 matlab仿真\PSO_02.png, 4671 , 2008-06-11
粒子群算法优化pid源码 matlab仿真\粒子群算法优化pid源码 matlab仿真.zip, 31089 , 2015-05-18
粒子群算法优化pid源码 matlab仿真, 0 , 2016-03-18

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粒子群算法是改进后的智能优化算法，它是模拟鸟类觅食的过程的一种优化算法，采用的压缩miu值得粒子群算法(PSO is improved intelligent optimization algorithm, which is a simulation of birds foraging in the process of an optimization algorithm, using the compression miu worth PSO )

2011-11-16 09:45:57下载

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2011-12-24 20:41:48下载

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粒子群算法优化pid源码 matlab仿真

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