matlab

说明：  Modify the Matlab Gauss Elimination routine given in lectures so that it (a) performs implicit complete pivoting, and (b) handles m right hand sides at once by performing an LU decomposition of the matrix A first and then doing forward substitution and back substitution (hence not modifying the right hand side as the elimination is perfomed). Test your program and then run it on the system AX = B(Modify the Matlab Gauss Elimination routine given in lectures so that it (a) performs implicit complete pivoting, and (b) handles m right hand sides at once by performing an LU decomposition of the matrix A first and then doing forward substitution and back substitution ( hence not modifying the right hand side as the elimination is perfomed). Test your program and then run it on the system AX = B)

simple electrical engineering programs for matlab

应用MATILAB编程实现了遗传算法整定PID控制器参数，并应用于一阶延迟模型的控制，并进行了阶跃响应仿真。(Application Programming MATILAB a genetic algorithm-tuning PID controller parameters, and applies to first-order delay model of control, and a step response simulation.)

边缘检测，很实用的，在MATLAB6.0环境下调试使用过 (bound search)

MATLAB神经网络多个案例分析及详细源代码(MATLAB neural network multiple case studies and detailed source code)

标准33节电配电网 simulink模型(Standard 33 saving distribution network simulink model)

说明：  遗传算法GA—模拟自然界遗传机制和生物进化论而成的一种并行随机搜索最优化方法。（具有“生存+检测”的迭代过程的搜索算法）基于自然界“优胜劣汰，适者生存”的生物进化原理引入优化参数形成的编码串联群体中，按照所选择的适应度函数并通过遗传中的选择、交叉和变异对个体进行筛选，使适应度值好的个体被保留，适应度差的个体被淘汰，新的群体既继承了上一代的信息，又优于上一代。反复循环，直至满足条件。(GA-A parallel random search optimization method that simulates natural genetic mechanisms and biological evolution. (Search algorithm with "survival + detection" iterative process) Based on the biological evolution principle of "survival of the fittest, survival of the fittest" in the natural world, the coding series formed by optimized parameters is introduced. Individuals are screened according to the selected fitness function and through genetic selection, crossover, and variation, so that individuals with good fitness values are retained, individuals with poor adaptability are eliminated, and new groups inherit the information of the previous generation., Better than the last generation. Repeat until conditions are met.)

说明：  其中为MPC模型预测控制仿真程序，为m文件，包含了对模型预测控制的理解，有助于结合理论(MPC model predictive control simulation program, m file, contains the understanding of model predictive control, which is helpful to combine theory)

MATLAB编写的遗传算法，采用二进制编码，有说明文档(Genetic algorithm written in MATLAB, using binary code, there is documentation)

matlab 50道练习题，有助于新手快速提高编程和应用能力(matlab 50 道 exercises to help novice programming and ability to rapidly improve)