1000-2618(2013)05-0469-06

一个摄影测量中的前方交会函数 MATLAB程序(Photogrammetry in a forward intersection function MATLAB program)

无线信道xIscKV模型MATLAB仿真程序，实现了UaziGDt技术下多参数的模拟，最接近物理信道，信道逼近参数接近最小二乘xIscKV算法。 (Radio channelxIscKV model MATLAB simulation program, to achieve a multi-parameter simulation UaziGDt technology, the closest physical channel, the channel parameters close to the least square approximation algorithm xIscKV )

小波变换的应用及对其的研究，提供给小波变换的初学者。。。(Application of wavelet transform and its research available to the wavelet transform beginners. . .)

easy code taking picture from web cam and showing the countours - use the logarithm filter

Algorithm of Netwon and secand method

robotmatlab 机器人功能工具箱(it‘s robot)

triple active bridge

自己做的程序中的一部分，颜色不变量模型的实现，一个函数(Own program part, color invariant model for the realization of a function)

use for the mosaic the image by taking the picture at different angale

(1)针对在线计算量大这一缺陷，将预测控制中的柔化输出信号的思想推广到柔化输入信号，使得约束条件被简化为仅对当前控制量的约束，可以直接计算得出；同时该方法避免了求逆矩阵，大大减小了计算量，并能够保证控制算法的可行性和良好的控制性能。 (2)针对传统算法中设计参数整定困难这一缺点，应用基于BP神经网络变参数设计的广义预测控制算法，实现了对控制量柔化参数的在线调整。 (3)利用带有遗忘因子的最小二乘法对系统辨识。本文通过仿真发现该方法对于Hénon混沌系统并不完全适用，可考虑利用其他优化系统辨识的方法对本方法进行改进，以期达到更好的辨识效果。 (4)针对系统稳定性分析复杂，本文在控制增量前加入前馈因子，保证所选的Lyapunov函数使闭环系统满足Lyapunov稳定判据，由此证明闭环系统稳定。 (1. To solve the problem of GPC huge computation, algorithm with input increment constraints is presented in which the concept of output softness was used to soften the input increments．As a result, the constraints are simplified to be the only one constraint on the current control increment which can be computed directly. At the same time, it needn’t computing the inverse matrix and thus reduces large computation. Moreover, it guarantees the feasibility of the algorithm and has good control performance． 2. To overcome the difficulty in the choice of tuning parameters in traditional GPC, a GPC algorithm with variable parameter design based on BP neural network. is presented，in which the input softness parameters are tuned on line. 3. In this paper, we Identify system by using the least square method with forgetting factor. However, after system simulation, we realize that this method doesn’t fit the Hénon chaotic system perfectly. So we recommend modify this method by other Optimizati)