cycloid-motion

多天线的角辐射功率演示,包括2种天线阵,1为线性真,一为任意布置.(A MATLAB GUI platform for displaying the radiation pattern of a narrowband beamformer with user-defined array geometry. User can specify the array geometry, directions of incoming signals, noise level, and the types of beamformer by mouse clicks. Useful for gaining insight about collaborative beamforming in sensor networks and random arrays. )

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invert pendulum:controller using frequency caracteristics controller LQR controller using root locus polyadd for adding vectors GUI interface for simulated the response of the invert pendulum

利用平面波计算了正方格子椭圆柱光子晶体的能带结构(use of a plane wave calculation square elliptical cylinder photonic crystal structure of the band)

葵花型索穹顶脉动风AR法模拟，使用Panofsky谱(Sunflower-type cable dome fluctuating wind AR method simulation, using Panofsky spectrum)

使用MATLAB编写的qdudqz神经网络算法，本程序根据训练好的网络文件DNViuWY预测新的数据文件，得到算法的最差性能和最优性能，并绘制出预测数据和原数据的对比图。调试运行正常。 (Using MATLAB preparedqdudqz neural network algorithm, the program according to the trained network fileDNViuWY anticipating new data files to obtain the best performance and the worst performance of the algorithm, and draw out the comparison chart data and predict the original data. Debugging and running properly. )

著名科学软件平台Matlab（矩阵实验室）早期1.0版本for DOS(Eminent scientific software platform Matlab (Matrix Laboratory) early version 1.0 for DOS)

粒子滤波跟踪算法学习的好文档。为个人读书心得，主要从三个角度去理解粒子滤波，由浅入深，有学习价值！(Particle filter tracking algorithm to learn a good document. For personal reading experience, mainly from the three perspectives to understand the particle filter, Deep learning value!)

The optimization behavior of the self-adaptation (SA) evolution strategy (ES) with intermediate multirecombination (the (=I )-SA-ES) using isotropic mutations is investigated on the general elliptic objective function. An asymptotically exact quadratic progress rate formula is derived. This is used to model the dynamical ES system by a set of difference equations. The solutions of this system are used to analytically calculate the optimal learning parameter  . The theoretical results are compared and validated by comparison with real (=I )-SA-ES runs on typical elliptic test model cases. The theoretical results clearly indicate that using a model-independent learning parameter  leads to suboptimal performance of the (=I )-SA-ES on objective functions with changing local condition numbers as often encountered in practical problems with complex fitness landscapes.

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