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1下载：
此包含有遗传算法、粒子群算法、BP算法优化对角递归神经网络的MATLAB程序,This includes genetic algorithms, particle swarm optimization, BP algorithm for diagonal recurrent neural network of the MATLAB program
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基于粒子群算法的PID参数设置。其中程序比较先进。,Particle Swarm Optimization Based on the PID parameters. One of the more advanced procedures.
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埃及人wael korani写的采用粒子群算法（pso）代码调用simulink模型优化pid参数，与大家共享,Wael korani Egyptians wrote using particle swarm optimization (pso) code pid call simulink model optimization parameters, and share
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一款埃及学生用Matlab编的的基于PSO的PID整定程序，使用方法详见程序注释。-Tunning of PID controller using Bacterial Foraging Orientec by Particle swarm optimization
My work has been accpepted in GECCO 2008 as Graduat Student workshop. I
have used this techique in PID
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粒子群优化算法。PID控制器的整定，matlab源码。-Tunning of PID controller using Particle Swarm Optimization
Author: Wael Mansour (wael192@yahoo.com)
MSc Student, Electrical Enginering Dept,
Faculty of Engineering Cairo University, Egypt
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PSO PID 粒子群优化的最优控制器 用于交通流量控制
PSO PID 粒子群优化的最优控制器 用于交通流量控制-Particle Swarm Optimization PSO PID controller for optimal traffic flow control
Particle Swarm Optimization PSO PID controller for optimal traffic flow control
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粒子群优化PID的典型例子，调试过了，非常好用-Particle Swarm Optimization typical example of the PID, debugging, and very easy to use
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基于粒子群算法的PID控制器优化设计，紧供新手学习-PID controller based on particle swarm optimization design
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基于粒子群算法的PID控制器优化，需含simulink，程序可以运行-Based on Particle Swarm Optimization PID controller is required with simulink, the program can run
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this code of Particle Swarm Optimization algorithm
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基于粒子群算法的PID控制器的设计与研究-Tuning of Digital PID Controller Using Particle Swarm Optimization
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基于粒子群算法的avr系统pid优化，A Particle Swarm Optimization Approach for
Optimum Design of PID Controller in AVR System-A Particle Swarm Optimization Approach for Optimum Design of PID Controller in AVR System， novel design method for determining the optimal
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用于PID控制器调谐的基于粒子群优化算法的MATLAB语言程序-Particle swarm optimization algorithm based on MATLAB language program for PID controller tuning
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基于MATLAB语言的用于PID控制器的三个参数优化整定的微粒群算法-Tuning of particle swarm optimization algorithm based on three parameters for the PID controller MATLAB language
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除了蚁群算法，可用于PID参数优化的智能算法还有很多，比如遗传算法、模拟退火算法、粒子群算法、人工鱼群算法，等等。-In addition to the ant colony algorithm can be used to optimize the PID parameters, there are many intelligent algorithms, such as genetic algorithms, simulated annealing algorithm, particle s
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用MATlab实现的神经算法，比较简单，适用于刚学习粒子群算法的人，大家可以交流一下-MATlab neural algorithm, relatively simple, suitable for people new to the study of the particle swarm optimization (pso) algorithm, we can discuss
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除了蚁群算法，可用于PID参数优化的智能算法还有很多，比如遗传算法、模拟退火算法、粒子群算法、人工鱼群算法，等等。-In addition to the ant colony algorithm, can be used in the intelligent algorithm of PID parameter optimization and there are many, such as genetic algorithm, simulated annealing algorithm, pa
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智能算法中的粒子群算法来控制PID控制器里的参数来调节单位阶跃响应，效果不错，大家可以参考-Intelligent algorithm of particle swarm optimization (pso) algorithm to control the parameters in the PID controller to adjust the unit step response, the effect is good, you can reference
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基于粒子群算法的PID控制器优,基于matlab环境的仿真，有助于图形的可视化编程-PID controller based on particle swarm optimization algorithm, matlab simulation environment based on graphical visualization program helps
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pso-pid量子粒子群算法qpso的matlab代码以及pid控制器在matlab中的仿真程序-Pso- pid quantum particle swarm optimization (qpso matlab code and pid controller in matlab simulation program
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