DRNNTunningPIDControlerforcouplingplant

非线性方程计算各种方法的matlab程序，可作为数值分析等的学习工具。(Nonlinear equations to calculate the various methods matlab program, can be used as a learning tool of numerical analysis .)

nioton method of matlab

文件中为关于MATLAB的界面设计程序,具体内容如下:曲线转换按钮,栅格控制按钮,编辑框的使用,弹出式菜单,编辑框的使用,滑标的使用,多选菜单,菜单控制的使用,UIMENU菜单的应用,等等.很有使用价值(documents for MATLAB on the interface design process, as follows : curve conversion button, Grid control button, edit box use, pop-up menus, edit box use, the subject of the use of sliding more election menu menu to control the use of UIMENU menu, and so on. very useful)

该代码可在matlab6.0版本以上运行,实际上是bp算法的改进.(err)

运用Log-Map迭代译码算法实现Turbo码的简化译码，改善了码率，提高译码速度，减小了运算量。(The use of Log-Map iterative decoding algorithm decoding Turbo codes to simplify and improve the bit rate, improve decoding speed and reduce the computational complexity.)

说明：  种子优化算法（SOA）matlab源程序，测试Rosenbrock等三个函数，结果很好，可以借鉴学习(Seed optimization algorithm (SOA) matlab source code, testing three functions, the results very good, can learn to learn)

newton raphson load flow

凸组合滤波器CLMS，代价函数为e的平方，根据IEEE添加的限定条件，程序稳定，可运行，有详细注释(Convex combination of filters, the cost function is the square of the e qualification added by the IEEE, the program can run detailed notes)

说明：  遗传算法（Genetic Algorithm，GA）最早是由美国的 John holland于20世纪70年代提出,该算法是根据大自然中生物体进化规律而设计提出的。是模拟达尔文生物进化论的自然选择和遗传学机理的生物进化过程的计算模型，是一种通过模拟自然进化过程搜索最优解的方法。该算法通过数学的方式,利用计算机仿真运算,将问题的求解过程转换成类似生物进化中的染色体基因的交叉、变异等过程。在求解较为复杂的组合优化问题时,相对一些常规的优化算法,通常能够较快地获得较好的优化结果。遗传算法已被人们广泛地应用于组合优化、机器学习、信号处理、自适应控制和人工生命等领域。(Genetic algorithm (GA) was first proposed by John Holland of the United States in the 1970s. It is designed and proposed according to the evolution law of organisms in nature. It is a computational model of biological evolution process simulating natural selection and genetic mechanism of Darwin's biological evolution theory. It is a method to search the optimal solution by simulating natural evolution process. The algorithm transforms the solving process of the problem into a process similar to the crossover and mutation of chromosome genes in biological evolution by means of mathematical method and computer simulation. When solving complex combinatorial optimization problems, compared with some conventional optimization algorithms, it usually can get better optimization results quickly. Genetic algorithm has been widely used in combinatorial optimization, machine learning, signal processing, adaptive control and artificial life.)

说明：  此程序实现自适应波束图中的不同的阵列间距和期望信号方向对波束图的影响(Realize this procedure adaptive beamforming map different array spacing and the desired signal direction of the impact of beamforming map)