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ant-colony-algorithm-Matlab-code
- 蚁群算法是一种模拟进化算法，初步的研究表明该算法具有许多优良的性质。针对PID控制器参数优化设计问题，将蚁群算法设计的结果与遗传算法设计的结果进行了比较，数值仿真结果表明，蚁群算法具有一种新的模拟进化优化方法的有效性和应用价值。该算法可用于优化问题求解。-Ant Colony Algorithm papers and source code for solving optimization problems
chap10_3
- 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
chap10_4
- 函数功能是基于二进制编码遗传算法的PID整定-Function function is based on the binary-coded genetic algorithms for PID tuning
chap10_5
- 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
nice
- 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
m572a
- PID与遗传算法，为进行pid参数整定，首先设置采样周期t，后建立带零阶保持器的连续对象的离散化模型，最后转化为差分方程-PID and genetic algorithm for the conduct of pid parameter setting, first set the sampling period t, after the establishment of discrete model with a continuous target of zero-order hold, a
PID_GA_simple
- 利用遗传算法（实数编码）实现一阶滞后模型的PID参数寻优自整定，可以在工程中使用-Using genetic algorithms (real coding) to achieve the first-order lag model of PID parameter optimization auto-tuning can be used in the project!
GA
- 遗传算法主要用于实现基于遗传算法的pid控制，利用对pid参数进行控制。-Mainly used to implement pid control based on genetic algorithm, genetic algorithm pid parameter control.
intelligent-control
- 文件包含遗传算法，神经网络算法仿真，模糊PID算法等仿真，仿真结果电子文档，分析详细，所得结果都有截图。-Files contain genetic algorithms, neural network algorithm simulation, fuzzy PID algorithm simulation results of electronic documents, detailed analysis, the results have screenshots.
PSO
- 粒子群优化算法与遗传算法结合，实现PID控制-PSO and genetic algorithm combined to achieve PID control
qaimou
- 详细画出了时域和频域的相关图，用MATLAB编写的遗传算法路径规划，IMC-PID是利用内模控制原理来对PID参数进行计算。- Correlation diagram shown in detail the time domain and frequency domain, Genetic algorithms using MATLAB path planning, The IMC- PID is using the internal model control principle for PI
intelligent-control
- 智能控制,包括神经网络，遗传算法，PID控制算法等- intelligent control
beipao_v46
- 遗传算法无功优化，包括邓氏关联度、绝对关联度、斜率关联度、改进绝对关联度,IMC-PID是利用内模控制原理来对PID参数进行计算。- Genetic algorithm based reactive power optimization, Including Deng s correlation, absolute correlation, correlation of slope, improved absolute correlation, The IMC- PID is using the
rengongyiqun
- 蚁群算法(ant colony optimization, ACO)，又称蚂蚁算法，是一种用来在图中寻找优化路径的机率型算法。它由Marco Dorigo于1992年在他的博士论文中提出，其灵感来源于蚂蚁在寻找食物过程中发现路径的行为。蚁群算法是一种模拟进化算法，初步的研究表明该算法具有许多优良的性质。针对PID控制器参数优化设计问题，将蚁群算法设计的结果与遗传算法设计的结果进行了比较，数值仿真结果表明，蚁群算法具有一种新的模拟进化优化方法的有效性和应用价值。-Ant colony algori
GAtbxPID
- 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
biehiu_v14
- 包含位置式PID算法、积分分离式PID，遗传算法无功优化，线性调频脉冲压缩的Matlab程序。- It contains positional PID algorithm, integral separate PID, Genetic algorithm based reactive power optimization, LFM pulse compression of the Matlab program.
gangyao_v80
- 包含位置式PID算法、积分分离式PID，遗传算法无功优化，一个很有用的程序。- It contains positional PID algorithm, integral separate PID, Genetic algorithm based reactive power optimization, A very useful program.
Intelligent-Control-for-Quadrotor
- 小型四旋翼的智能控制。使用基于粒子群的PID控制、基于遗传算法的PID控制，以及BP神经网络控制-小型四旋翼的智能控制。使用基于粒子群的PID控制、基于遗传算法的PID控制，以及BP神经网络控制。Simulation of Intelligent Control for Quadrotor， which based on particle swarm optimization PID control, genetic algorithhm PID control and BP neural ne
peikou_v52
- IMC-PID是利用内模控制原理来对PID参数进行计算，遗传算法无功优化，有CDF三角函数曲线/三维曲线图。- The IMC- PID is using the internal model control principle for PID parameters is calculated, Genetic algorithm based reactive power optimization, There CDF trigonometric curve/3D graphs.
mc237
- 光纤无线通信系统中传输性能的研究，IMC-PID是利用内模控制原理来对PID参数进行计算，用MATLAB编写的遗传算法路径规划。- Fiber Transmission wireless communication system performance, The IMC- PID is using the internal model control principle for PID parameters is calculated, Genetic algorithms using MATL