Solving-Nonlinear-Equations-using-Newton

卡尔曼滤波器的仿真例子，小程序，卡尔曼滤波器的仿真例子，小程序，卡尔曼滤波器的仿真例子，小程序，(karman filter , karman filter karman filter karman filter )

shuffled complex evolution method (function)

图像的编解码程序，可以直接运行，并含有PSNR的对比(The encoding and decoding files which can run without modify, and we have comparison of PSNR)

RT（快速扩展随机树）是一种基于采样的算法求解路径规划问题。RRT提供可行的解如果时间RRT趋于无穷大。 RRT *是一个基于采样的算法为解决运动规划问题，这是一个概率最优变异性。RRT *收敛到最优解的渐近。 RRT * FN是一个基于采样的算法基于RRT *。RRT * FN内在渐近收敛到最优解，然而RRT * FN实现使用更少的内存(RRT (Rapidly-Exploring Random Tree) is a sampling-based algorithm for solving path planning problem. RRT provides feasable solution if time of RRT tends to infinity. RRT* is a sampling-based algorithm for solving motion planning problem, which is an probabilistically optimal variant of RRT. RRT* converges to the optimal solution asymptotically. RRT*FN is a sampling-based algorithm based on RRT*. RRT*FN inherents asymptotical convergence to the optimal solution, however RRT*FN implements it using less memory.)

一款用于无刷直流电机的起动和发电一体化simulink仿真模型。(A brushless DC motor used for starting and power generation simulink simulation model integration.)

利用前推回带法计算配电网潮流数据，以一个40节点网络为算例(Push back with the use of the former method to calculate the distribution power flow data, a 40-node network as an example)

1）先利用文件Lorenz.m求解出Lorenz系统，并把其数组保存成名字为un.mat的文件。 2）直接运行文件Lorenz1.m 便可统计出Lorenz系统的轨道(a) first use of document Lorenz.m solved Lorenz system, and the preservation of its array of un.mat name into the paper. 2) Run the file directly Lorenz1.m Lorenz will be the statistics on the track)

In 1960, R.E. Kalman published his famous paper describing a recursive solution to the discrete-data linear filtering problem. Since that time, due in large part to advances in digital computing, the Kalman filter has been the subject of extensive research and application, particularly in the area of autonomous or assisted navigation.(In 1960, R. E. Kalman published his famous paper describ ing a recursive solution to the discrete-data l inear filtering problem. Since that time, due in large part to advances in digital computi Vi, the Kalman filter has been the subject of extens ive research and application. particularly in the area of autonomous or assis ted navigation.)

自己编写的bp神经网络用来进行交通流量预测，具有一定的准确性(I have written to bp neural network used for traffic forecasts, with some accuracy)

Training a neural network