matlab 仿真领航跟随编队

压缩包包括5个群智能算法的程序，即PSOGA-PID优化，PSO的多目标perota优化问题，基于TSP-PSO算法，遗传算法求解TSP问题，遗传算法求解TSP问题(Compression package includes five swarm intelligence algorithm procedures, namely PSOGA-PID optimization, PSO perota multi-objective optimization problem, TSP-PSO algorithm based on genetic algorithm for TSP, genetic algorithm for TSP)

线性自抗扰算法样例；采用matlab脚本文件实现(Examples of linear ADRC algorithm)

《matlab数值分析》一书中的相关程序，供大家参考("Matlab numerical analysis," a book of related procedures, for your reference)

刚刚漏了补充这个程序，是UKF里计算sigma点的程序，不好意思(sigma point)

SQPLab optimization toolbox

MATLAB下的PMSM建模仿真 系统仿真模型组件(DTC)

用matlab对ADC的输出进行fft分析，得到需要的SNDR、THD、SFDR、ENOB等信息。(With matlab fft of the output of ADC analysis, required SNDR, THD, SFDR, ENOB, and more.)

说明：  .附件结构: gatbx.rar: (1)gatbx-origin.zip; (2)gatbx-toolbox.rar; (3)gatbx-example.rar 2.调试所用Matlab版本是6.5，gatbx-toolbox是调试过程中使用的工具箱，有些热心的研友已经提供了该工具箱，之所以再贴一遍，是因为6.5版本下调试该工具箱会出现一些错误提示，在该版本中已经进行了改正，使用该工具箱只需要将压缩包下的gatbx和gatbxTest_fns加入到Matlab搜索路径即可，另外gatbx-origin是Sheffield大学提供的原始版本的工具箱，未做任何改动，两者可做比较之用 3.gatbx-example是算例调试源码和各算例的调试说明，大家可以对照原书进行比较 4.窃以为gatbx工具箱较之Matlab7新版下的gads工具箱更能让人熟悉和了解遗传算法的原理和计算过程，虽然在可视化方面不及gads 5.学习遗传算法如果首先用熟相关工具箱的话，能够先培养信心，然后更有兴趣去专研和了解具体的算法，如果就用现有的工具箱就能解决问题的话，不了解其详细的算法也未尝不可，毕竟不是每个研友都能向see_moonlight那样开发自己的工具箱吧,(Annex structure: gatbx.rar: (1) gatbx-origin.zip; (2) gatbx-toolbox.rar; (3) gatbx-Test_fns under the compression package need to be added to Mat. The lab search path can be done, and gatbx-origin is the original version of the toolbox provided by Sheffield University, without any changes, which can be used for comparison. 3. Gatbx-example is the source code of example debugging and the debugging instructions of each example. You can compare it with the original book. 4. It is assumed that the gatbx toolbox is better than the gads toolbox in the new version of MATLAB 7 in familiarizing and understanding the principle and calculation process of genetic algorithm, although it is less visualized than gads.)

1. Transfer function to state space model transfer function to state space A=[1 1 1] B=[1 6 11 6] [A,B,C,D]=tf2ss(num,den)

适用于油田探井布局计算的快速模拟退火算法matlab程序。(The calculation applies to oil field exploration wells layout fast simulated annealing algorithm matlab program.)