fangxiangtu_ganrao

电力系统配电网树状网的潮流计算，附有PDF的程序文档说明(Power system distribution network power flow calculation tree network with PDF document explains the procedures)

滑模变结构控制本质上是一类特殊的非线性控制，其非线性表现为控制的不连续性，这种控制策略与其它控制的不同之处在于系统的“结构”并不固定，而是可以在动态过程中根据系统当前的状态(如偏差及其各阶导数等)有目的地不断变化，迫使系统按照预定“滑动模态”的状态轨迹运动。由于滑动模态可以进行设计且与对象参数及扰动无关，这就使得变结构控制具有快速响应、对参数变化及扰动不灵敏、无需系统在线辩识， 物理实现简单等优点。该方法的缺点在于当状态轨迹到达滑模面后，难于严格地沿着滑模面向着平衡点滑动，而是在滑模面两侧来回穿越，从而产生颤动，即抖振问题。 中文名 滑模变结构控制 外文名 Sliding Mode Variable Structure Control 别 称 滑动模态变结构控制(Sliding mode variable control)

说明：  非常好的资料，用于高等光学仿真，书与源码都有。(Advanced optical simulation, source code and books)

说明：  代码源自论文“Coding Prony's method in MATLAB and applying it to biomedical signal filtering”，附测试例程(Code comes from the paper "coding prony's method in MATLAB and applying it to biomedical signal filtering", with test routine)

第一行输入灯泡个数，第二行输入灯泡状态。(The first line inputs the number of bulbs, and the second line inputs the bulb status.)

书籍课程源代码郭天祥10天学会51单片机课程例程第三篇(Book course source code Guo Tianxiang 10 days learn 51 SCM course routines third)

说明：  基于均匀化方法的微结构拓扑优化matlab代码(Microstructure Topology Optimization Matlab Code Based on Homogenization Method)

说明：  MATLAB通信系统建模与仿真（第2版配套资料）(MATLAB communication system modeling and simulation (2nd edition supporting information))

可以得到很精确的幅值、频率、相位估计，用于信号特征提取、信号消噪，有循环检测，周期性检测。( You can get a very accurate amplitude, frequency, phase estimation, For feature extraction, signal de-noising, There are cycle detection, periodic testing.)

说明：  精通MATLAB最优化计算 配套光盘 本书的主要内容是应用MATLAB来解决最优化问题，通过将“最优化问题”、“MATLAB优化工具箱”和“MATLAB编程”这三方面有机结合进行讲述，即一方面是使用工具箱来快速解决最优化问题，另一方面是通过算法编程深入解决最优化问题。主要包括MATLAB优化工具箱、无约束多维极值问题、约束优化问题、非线性最小二乘优化问题、线性规划、整数规划、二次规划、粒子群优化算法、遗传算法。 (The main contents of the book is the application of MATLAB to solve the optimization problem, by &quot optimization problem&quot , &quot MATLAB Optimization Toolbox&quot and &quot MATLAB Programming&quot combination of these three were about, that one is using the kit to quickly solve the optimization problem, on the other hand, through in-depth programming algorithm to solve the optimization problem. Including MATLAB optimization toolbox, unconstrained multi-dimensional extremum problems, constrained optimization, nonlinear least squares optimization problem, linear programming, integer programming, quadratic programming, particle swarm optimization, genetic algorithm.)