Tripleinvertedpendulumweightedfuzzyneuralnetworkco

fft 利用DSP Builder 在MATLAB下产生的模型(DSP Builder fft using the model generated in MATLAB)

PLS部分最小二乘工具箱,数值分析的EULER法，matlab编写的元胞自动机。( PLS PLS toolbox, EULER numerical analysis method, matlab prepared cellular automata.)

用vc++编写的具有计算齿轮误差的软件，并能判断是否合格(Prepared using vc++ error with computing gear software, and to determine eligibility)

幂律分布的数据案例，这个案例数据有助于理解幂律分布的计算公式。(The case of power-law distribution of data, case data will help to understand the power-law distribution formula.)

差分进化算法，有测试函数，是遗传算法的改进算法，收敛快，精度高。(Differential evolution algorithm, a test function, is an improved genetic algorithm algorithm, fast convergence, high precision.)

相场法基础书籍的配套计算代码，对于学习相场法的基础同学来说极其有用(The supporting calculation code of the phase field basic book is extremely useful for the students who are studying the basic method of the phase field method.)

说明：  C++ SGP4 Satellite Library

在图论中的floyed算法程序，可以算两点之间的最小距离(The floyed algorithm in graph theory)

为了提高三级倒立摆系统控制的响应速度和稳定性,在设计Mamdani 型模糊推理规则控制器控制倒立摆系统稳定的基础上, 设计了一种更有效率的基于Sugeno 型模糊推理规则的模糊神经网络控制器。该控制器使用BP 神经网络和最小二乘法的混 合算法进行参数训练,能够准确归纳输入输出量的模糊隶属度函数和模糊逻辑规则。通过与Mamdani 型控制器的仿真对比, 表明该Sugeno 型模糊神经网络控制器对三级倒立摆系统的控制具有良好的稳定性和快速性,以及较高的控制精度。(In order to improve the three-level control of inverted pendulum system response speed and stability, in the design of Mamdani-type fuzzy inference rules of the system controller to control the stability of inverted pendulum on the basis of a more efficient design based on Sugeno-type fuzzy inference rules of fuzzy neural network controller. The controller is the use of BP neural network and hybrid least squares training algorithm parameters can be accurately summed up the amount of input and output fuzzy membership function and fuzzy logic rules. Mamdani-type controller with a simulation comparison shows that the Sugeno-type fuzzy neural network controller for the three-tier control of inverted pendulum system with good stability and fast, as well as a higher control precision.)

莱斯大学一位大牛的带l1范数的目标函数求解的程序，包含多种比较方法， 非常适合优化计算研究，与图形图像优化求解问题等。(Rice University with a large cattle l1 norm objective function to solve the program contains multiple comparison method is very suitable for optimum calculation of the graphic image optimization problem.)