IsomapR1

二个下拉列表关联二个下拉列表关联二个下拉列表关联(二个下拉列表关联二个下拉列表关联二个下拉列表关联二个下拉列表关联)

老师给的关于最优估计的matlab程序，包括卡尔曼 无迹卡尔曼等等的demos 和相关的pdf学习文档(Optimal State Estimation)

调制解调课程设计 16QAM调制解调代码。包括星座图，频谱分析，误码率分析。(16QAM modulation and demodulation curriculum design code modulation and demodulation. Including constellation, spectrum analysis, bit error rate analysis.)

电力系统程序，是电网接入光伏的最大容量程序，其中的限制条件为为全部节点的电压上下限，是MATLAB与OPENDSS的联合编程，程序可以得到任何一个节点的光伏接入极值(Power Systems program is the maximum capacity of photovoltaic grid connection procedures, restrictions as to limit the voltage on all nodes, joint programming and OPENDSS MATLAB, the program can get access to any node photovoltaic extreme)

说明：  逻辑混沌映射，通过排列熵算法有效检测出序列的周期——混沌状态(Logical chaotic map, through permutation entropy algorithm to effectively detect the period of the sequence chaotic state)

face to face through face-side down until the back face, the only

This is some MATLAB m-files to simulate a communication system using convlutional channel coding and Viterbi algorith of decoding.

坐标转换（四参数） [row col]=size(source) for i=1:row u(i)=source(i,2) v(i)=source(i,3) x(i)=source(i,4) y(i)=source(i,5) B(2*i-1,1)=1 B(2*i-1,2)=0 B(2*i-1,3)=u(i) B(2*i-1,4)=-v(i) B(2*i,1)=0 B(2*i,2)=1 B(2*i,3)=v(i) B(2*i,4)=u(i) L(2*i-1,1)=x(i) L(2*i,1)=y(i) end X=inv(B *B)*(B *L) Txy=[X(1) X(2)] xzjz(1,1)=X(3) xzjz(1,2)=-X(4) xzjz(2,1)=X(4) xzjz(2,2)=X(3) [row1 col1]=size(target) for i=1:row1 u1(i)=target(i,2) v1(i)=target(i,3) d=[u1(i) v1(i)] md=Txy+xzjz*d end end (Coordinate conversion： [row col]=size(source) for i=1:row u(i)=source(i,2) v(i)=source(i,3) x(i)=source(i,4) y(i)=source(i,5) B(2*i-1,1)=1 B(2*i-1,2)=0 B(2*i-1,3)=u(i) B(2*i-1,4)=-v(i) B(2*i,1)=0 B(2*i,2)=1 B(2*i,3)=v(i) B(2*i,4)=u(i) L(2*i-1,1)=x(i) L(2*i,1)=y(i) end X=inv(B *B)*(B *L) Txy=[X(1) X(2)] xzjz(1,1)=X(3) xzjz(1,2)=-X(4) xzjz(2,1)=X(4) xzjz(2,2)=X(3) [row1 col1]=size(target) for i=1:row1 u1(i)=target(i,2) v1(i)=target(i,3) d=[u1(i) v1(i)] md=Txy+xzjz*d end end )

基于干扰观测器的pid控制，非线性pid鲁棒控制，线性pid控制器设计(Disturbance observer based PID control, nonlinear PID robust control, linear PID controller design)

empirical modelling for processs control with deat time