daopu

基于802.11的matlab仿真，IEEE的通信协议(Matlab simulation of 802.11-based communication protocol of the IEEE)

(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)

说明：  基于直流潮流法的IEEE-30节点潮流计算(Power Flow Calculation of IEEE-30 Nodes Based on DC Power Flow Method)

说明：  天牛须仿生模糊寻优算法,寻找最优解。可作为股票分析等(BSO is a kind of bionic arithmetic which can calculate like fuzzy)

keyboard user input control

说明：  8psk调制解调的源码。给出调制前后符号的星座图和相关波形，指标对比。(8psk modulation and demodulation of the source. Given before and after the symbol constellation modulation and associated waveforms, index contrast.)

说明：  神经网络 侯媛彬 西安电子科技大学出版社 全书程序夹CH3(Neural network Book program folder)

说明：  Genetic Algorithm matlab code for reconstruction gene regulatory networks

压缩感知的BP MP OMP重构算法比较，包括运行时间、误差、PSNR的比较，稀疏表示为小波变换(compressed sensing reconstruction algorithm comparing BP MP OMP, including comparative run-time error, PSNR ，sparse representation is the wavelet transform)

用于主成分分析的源码，由例子可以直接了解PCA的步骤方法(Principal component analysis of the source code used by the example of the method can be directly aware of the steps of PCA)