tasking_demo_autotrans_sfun1

张雄的无网格法这本书中的所有程序的引用目录，使得书本的程序结构更加简明。(Zhang Xiong of the meshless method that all the procedures in this book reference directory, the program structure makes the book more concise.)

神经网络进行预测matlab，很不错，值得看看(Neural network prediction matlab, very good, worth a look)

利用模拟退火法解决ＩＳＰ问题，压缩包有相关说明，验证数据，不再另行说明(ISP using simulated annealing method to solve the problem, compressed with instructions, validate data, no further description)

编写四阶 Runge_Kutta 公式的计算程序，对线性状态方程进行仿真 (Preparation of fourth order Runge_Kutta formula calculation procedures, the linear equation of state for simulation)

fuzzy control method for stability analysis of systems

一本关于非线性时间序列分析的书籍，本来论坛有人上传过，但不能下载了。(One on nonlinear time series analysis of books，Originally it was uploaded, but can not download)

实现两幅图像的匹配，程序已调试，可以直接运行(Realize the two images to match, the program has commissioning, can run directly)

运行结果良好的三个RLS算法，供大家参考使用(good operating results in three RLS algorithm, for reference use)

本程序仿真在给定系统延时下的QPSK系统误码率，其中没有使用成形滤波器，考虑了相位同步和符号同步，对工程人员很有参考价值(QPSK err rate simulation)

针对传统α － β 滤波算法不够有效跟踪机动目标的问题， 详细分析了其内在原因， 提出一种改进的α － β 滤波算法。该算法不需要假定目标的机动模型， 而是将目标的机动加速度作为滤波状态直接估计出来， 将估计加速度作为输入控制量引入到传统α － β 滤波器的状态估计方程中进行机动目标的跟踪。然后将它与传统α － β 滤波算法进行比较， 证明了新的算法不仅具有传统算法计算量小的优点， 而且还可以对机动目标进行实时跟踪。仿真结果表明， 新算法在综合性能上明显优于传统算法。(In view of the problem that the traditional alpha beta filtering algorithm is not effective in tracking the maneuvering target, the internal reason is analyzed in detail, and an improved alpha beta filtering algorithm is proposed. In this algorithm, the maneuvering model of the target is not assumed, but the maneuvering acceleration of the target is estimated directly as the filter state, and the estimated acceleration is introduced into the state estimation equation of the traditional alpha beta filter to track the maneuvering target in the state estimation equation of the traditional alpha beta filter. Then compared with the traditional alpha beta filtering algorithm, it is proved that the new algorithm not only has the advantages of small computation in the traditional algorithm, but also can track the maneuvering target in real time. The simulation results show that the new algorithm is superior to the traditional algorithm in terms of comprehensive performance.)