particleswarm

语音处理工具箱，用于matlab环境下，Mike Brookes编写，用于压缩和识别(Speech processing toolbox for matlab environment, Mike Brookes prepared for compression and recognition)

说明：  无传感器永磁同步电机matlab仿真 pid自适应 已调的还可以(Sensorless permanent magnet synchronous motor adaptive pid matlab simulation has been adjusted, they can still)

说明：  一个用matlab编写的一维FDTD算法程序(Using matlab to prepare a one-dimensional FDTD algorithm procedure)

微气象去野点程序，用于边界层湍流通量资料处理(The Micrometeorological to wild-point program for the boundary layer turbulent flux data processing)

说明：  运用退火算法解决公共场合人流量问题，一次解决关于人员疏散相关问题(Applying annealing algorithm to solve the traffic problem in public places)

pso程序的源代码 pso程序的源代码-粒子群优化算法源程序 作者：FashionXu 一个pso程序的源代码。在vc.net2003下面通过。 建议：看代码之前，请先弄明白pso是怎么回事。然后请对应着来：程序中用Agent代表一只鸟，PSO代表鸟群。阅读源代码，不要顺着看，先看main(),然后按照出现的东西的顺序，一个一个得来，呵呵，纯粹是建议。(program s source code pso pso program s source code - source code on Particle Swarm Optimization: FashionXu a pso program source code. In vc.net2003 following through. Recommendation: look at the code before you figure out how the matter pso. Then please correspond to: Program using Agent on behalf of a bird, PSO representative of the flock. Read the source code, do not look down, look at the main (), then follow the order of things there, one by one, come, Oh, merely suggestions.)

maplestory version 102 sourcecode

this Matlab program simulates the First order Rayleigh scatter as a separate component in the decomposition of fluorescence landscapes

无人机高度基于matlab数据融合（考虑卡尔曼滤波）(UAV height data fusion based on matlab)

用局部参数最优化方法设计一个模型参考自适应系统,可调增益的初值Kc(0)=0.2，给定值r(t)为单位阶跃信号，即r(t)=A×1(t)。 要求： 1把连续系统离散化(采样时间可取0.1)。 2编制并运行这个系统的计算机程序(注意调整B值，使系统获得较好的自适应特性)。 3记录ym、yp的曲线 记录kp×kc的曲线 记录广义输出误差e的变化曲线。 4在参数收敛后，让Kp=2变为Kp=1，重新观察Kp×Kc及e的变化曲线。 5找出在确定的B值下，使系统不稳定的A值(阶跃信号的幅值)，并与用劳斯稳定判据计算的结果比较。 (With local parameter optimization method to design a model reference adaptive system, adjustable gain initial Kc (0) = 0.2, for a given value of r (t) for the unit step signal that r (t) = A × 1 ( t). Requirements: a continuous system discretization (sampling time of 0.1 preferred). 2 compiled and run the system computer program (Note B to adjust the value of the system to obtain better adaptive characteristics). 3 records ym, yp curve record kp × kc curve records generalized output error e curves. 4 parameter convergence, let Kp = 2 into the Kp = 1, re-observed Kp × Kc and e curves. B-5 to find value in determining the next, making the system unstable A value (step signal of amplitude), and using Routh stability criterion and the comparison of the results calculated.)