PF

关于多变量预测控制算法，丢番图推导详细过程(Multivariable predictive control algorithm)

说明：  遗传工具箱类构造函数。分为染色体类构造函数。一般基类的构造根 ，对于连续型设计变量的数据提取的构造。得到的染色体设置属性(Genetic toolbox class constructor. Divided into the chromosome class constructor. The general structure of the root base class for the continuous design variables of the structure of data extraction. Have set the properties of chromosomes)

IEEE14节点系统潮流计算算例，直接可以运行(IEEE14bus power flot )

matlab控制电脑摄像头定时拍照加gui界面设计。。。matlab(matlab control computer camera timer camera plus gui interface design. . . matlab)

模拟光纤传输中磁场和电场的场强度分布。包含纳米光纤的相关仿真(Simulation of optical fiber transmission field intensity distribution of magnetic and electric fields. Comprising nano-fiber-related simulation)

shooting method demo code for boundary value ODE s

power_SLmodeling.rar,功率电子领域matlab仿真文件，已经验证过，程序运行正常(power_SLmodeling.rar,Power electronics field matlab simulation file, has already been verified, the normal operating procedures)

A user guide for classification toolbox using Matlab

(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)

matlab语言。多导体传输线之间耦合的问题！实习时编写。(matlab language. Coupling between the multi-conductor transmission line problem! When writing internship.)