nia_8Channels

communication book.based on mimo system. for LCF code

本程序为基于RBF神经网络上界自适应学习的滑模控制，适用于实际无法测量上界值的情况。(This procedure is based on the RBF neural network to learn the upper bound of adaptive sliding mode control, can not be applied to the actual measurement of the upper bound values.)

鲁棒滤波,H_鲁棒滤波器与Kalman滤波器的MATLAB仿真。(The robust filtering)

基于dijkstra算法求最短路径，可以求任意两点间的最短路径(use dijkstra to solut the shortest path)

Control Sensor pour PMSM Boucle Complete

改程序为基于核函数的主成分分析算法的MATLAB实现程序,对于学习KPCA有很大帮助(This program is the MATLAB program which is based on the kernel principal component analysis )

粒子群算法优化支持向量机参数，可用于分类(pso svm)

二分法，Newton迭代法和弦截法求方程根，并比较迭代次数。内含各种迭代法及数值加速方法的说明和比较。(Dichotomy, Newton iteration method for the equation of the root chord section, and compare the number of iterations. Includes a variety of accelerated iterative method and numerical description of the method and comparison.)

光子晶体微腔场分布及功率分布的计算（每个时刻的场分布都能得到）(Photonic crystal resonant cavities power distribution)

PSO_DynamicEnvironment是用粒子群算法（particle swarm algorithm）解决动态环境寻优（最优值不断变化）的问题。文件打开后运行PSO_DynamicEnvironment.m文件即可得到结果，代码中有详细注释，方便修改。运行示例已经保存为图片附在压缩包中。(PSO_DynamicEnvironment solve dynamic environment particle swarm optimization algorithm (particle swarm algorithm) (optimal value changing) problems. Run PSO_DynamicEnvironment.m file to get the file to open the result, the code has detailed notes, easy to modify. Run the sample has been saved as a picture attached to the compressed package.)