vblast_zf_wq

本程序用于求解层次分析法中的特征值问题。正互反阵最大特征值和特征向量实用算法，本程序为求和法。(This procedure is used to solve the ahp eigenvalue problems. Is reciprocal array maximum eigenvalue and eigenvector practical algorithm, the procedures for the methods of summation by. )

Matlab_ and _VC + + mixing programming process explanation (including part of the problem solutions)(Matlab_ and _VC++ mixing programming process explanation (including part of the problem solutions))

包含飞行器飞行中的姿态控制，如侧滑角，倾斜角，滚转角，俯仰角，与理论分析结果相比，DSmT证据推理的组合公式计算函数。( It comprises aircraft flight attitude control, such as slip angle, tilt angle, roll angle, pitch angle, Compared with the results of theoretical analysis, Combination formula DSmT evidence reasoning calculation function.)

波束赋形，应用于各类通信仿真，以及各种天线环境下的通信(Beamforming, used in all types of communication simulation, and a variety of antenna communication environment)

LMS matlab算法的仿真程序，改算法再工业上用处广泛(Algorithm LMS matlab simulation program, change the algorithm and then use a wide range of industrial)

一个含风、光的小系统，实用性很强，别于初学者学习。(Small systems including wind, light, very practical, do not learn for beginners.)

ac and dc power transmissions. No alterations of conductors, insulator strings, and towers of the original line are needed

包括了风速模型在内的风力发电系统滑模控制，使用时打开说明(The wind power generation system includes a wind model, including the sliding mode control, open Description)

全自由度空时自适应处理MATLAB仿真程序，可供学习参考(The matlab simulation program can be used as a reference for learning stap.)

该算法是以粒子群中粒子的收敛特性为基础,依据量子物理理论提出的,改变了传统粒子群算法的搜索策略,可使粒子在整个可行解空间中搜索寻求全局最优解。同时该算法的进化方程中不需要速度向量,而且进化方程的形式更简单,参数较少且容易控制。对两个算例进行仿真测试,证实该算法可有效解决经济负荷分配问题 性能对比显示,该算法求得的解优于已有的改进粒子群算法及其它优化算法所求得的解。(The algorithm is based on convergence particle swarm particle basis, according to the theory of quantum physics, particle swarm algorithm has changed the traditional search strategies, allow the particles throughout the feasible solution space search seek the global optimal solution. Meanwhile, the algorithm does not need velocity vector evolution equations, and evolution equations simpler and less parameters and easy to control. Two examples of simulation tests confirmed that the algorithm can effectively solve the economic load allocation performance comparison shows that the algorithm is superior to existing solutions obtained improved PSO algorithm and other optimization algorithms obtained solution.)