BCM

《MATLAB神经网络30个案例分析》中的第6个例子，案例6 PID神经元网络解耦控制算法_多变量系统控制。希望对大家有一定的帮助！(The MATLAB neural network analysis of 30 cases of 6 examples, case 6 _ multi-variable PID neural network decoupling control algorithm control system. Hope to have certain help to everybody! )

it is file of document to forgery detection method in 3d image

基于canny边缘检测，模糊c均值聚类的图像分割(Canny edge detection based on fuzzy c-means clustering image segmentation)

matlab图论着色，内涵可以实现简单的图论着色源代码，实现计算色的多项式等功能(the matlab graph theory coloring)

对于初学卡尔曼者有借鉴作用，结合程序可以更好的理解集合卡尔曼理论(For the beginner who has a reference Kalman, combined with a better understanding of the program can be set Kalman theory)

运行matlab平台，烟花寻优算法，自己编的(Operation of MATLAB platform and optimization algorithm for fireworks)

The exception that is thrown when an error occurs while a {@code Certificate} is being encoded.

一个黄金分割法,可以运行，不过只是最终结果，想要中间过程就得自己想办法了，我也不会了。两个二分法可以(A golden section method, you can run, but only the final result, like the middle of the process would have their own ways, and I will not. 2 dichotomy can be)

该算法用于实现静基座二位置捷联惯导初始对准(The algorithm used to implement static base two position SINS initial alignment)

交流伺服系统中的死区效应分析与补偿分析了逆变器的死区效应产生的原因及其对交流伺服系统控制性能产生的影响,指出死区补偿的关键 在于电流相位的获取,为了克服实际系统中电流零点的模糊性,提出了一种基于两相静止坐标系下的前馈死 区补偿方法. 该方法通过对三相输出电流一个周期内补偿电压进行傅里叶变换,发现仅需补偿1 ,5 ,7 次谐波 分量即可消除死区效应. 仿真和试验结果验证了这种方法的正确性和可行性.(AC servo system analysis and compensation of dead time effect of the inverter dead time effect causes the impact of the control performance of the AC servo system, and pointed out that the dead time compensation, the key lies in the current phase of the acquisition, in order to overcome the practical zero of the current ambiguity of the system is proposed based on the two-phase stationary coordinate system under the feedforward dead-time compensation method. by the offset voltage of the three-phase output current cycle Fourier transform is found only compensation 1, 5, 7 harmonic components to eliminate the dead time effect. simulation and experimental results verify the correctness and feasibility of this approach.)