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(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)

这是MATLAB GUI制作鲁棒性数字水印的完整程序，很适合做毕业设计的同学参考(This is a MATLAB GUI robust watermark produced a complete program, it is suitable for those students graduate design)

A simple binary Ga for optimization.

matlab 40个案例分析 和60个程序代码，很详细，值得入手(matlab 40 case studies and 60 program code, in great detail, it is worth starting)

本程序主要是对线性判别函数分类器进行实现。(Linear discriminant function classifier achieved.)

一个强大的工具分析 寻找 逆转录(逆转录)跟随由聚合酶链反应，该程序定量分析信使核糖核酸。定量表达基因水平，特别是能为低级的丰富信使核糖核酸提供分析工具。(Reverse transcription(RT) followed by PCR is a powerful tool for the detection and quantification of mRNA. It is the most sensitive method for the detection and quantification of gene expression levels, in particular for low abundance mRNA. The relative quantification is based on the expression ratio of a target gene versus a reference gene. Some mathematical models have already been developed to calculate the relative expression ratios, with or without efficiency correction. Normally the PCR efficiency is set at 2 (the max possible value) for the reference and target gene, but a difference in PCR efficiency of 0.03 between the target and reference gene, the falsely calculated difference in expression ratio is 46 in case of Et<Er and 209 in the case of Et>Er. The difference will increase dramatically by higher efficiency differences: i.e. DE=0.05 (27 and 338 ) and DE=0.1 (7.2 and 1083 ) This function computes the efficiency of PCR reaction and is based on my function MYREGR)

系统辨识的matlab仿真，该方法的辨识过程使用了粒子群算法，计算迅速准确。(Matlab simulation of system identification, the identification of the method using particle swarm optimization algorithm to calculate quickly and accurately.)

[matlab source code]CPUmeultithread

利用Matlab软件对OFDM技术的原理,调制解调过程进行了仿真实现(Matlab software on the principle of the OFDM technology, modulation and demodulation process simulation)

C programming for arduino