kekaoxing-pso

说明：  比例导引法的MATLAB，程序，希望大家多侃侃(matlab)

系统辨识用matlab产生M序列，移位寄存器实现(System identification using matlab generate M sequence, the shift registers)

拉丁超立方抽样，调用方式如下：S=lhs(m,dist,mu,sigma,lowb,upb) m: a scalar,the number of sample points dist: A row with distribution type flags of basic random variables the value of the flag can be 1 (for uniform distribution, 2(for normal distribution), 3(for lognormal) and 4(for extreme type 1). mu: A row vector comprising the mean value of basic random variables. sigma: A row vector with its length equaligng to mu,including the standard deviation of basic random variables. lowb: a row vector with its elements are the lower bound of the sampling interval upb:a row vector with its elements are the upper bounds of the sampling interval dist,mu,sigma,lowb,upb must have the same length. Output argument S: sampling point matrix, of which each row is a sampling point.(code of Latin Hypercube Sampling)

此代码是有关QAM的MATLAB的仿真，包括4QAM,16QAM,64QAM。还有其误码率的仿真(This code is related to the MATLAB simulation QAM, including 4QAM, 16QAM, 64QAM. Also its BER simulation)

用稳定边界法整定公式来求P,PI,PID的个参数，其中G是已知被校正系统的开环传递函数,kp为比例系数， Ti为积分时间常数，Td为微分时间常数，输入参量Gc为校正器传递函数，p为系统开环极点的个数（不计重根个数，即多重根只计一个根）(With the Stable Boundary tuning formula seeking P, PI, PID' s parameters, of which G is known to be corrected and the system of open-loop transfer function, kp is proportional coefficient, Ti the integral time constant, Td for the differential time constant, input parameters Gc for the corrector transfer function, p is the number of poles of open-loop system (excluding the number of multiple roots, that is a multiple root only to the root))

Natural Vibrations of a circular plate

经典的偏线性最小二乘算法，可用于线性回归和故障诊断(Classical linear partial least squares algorithm can be used for linear regression and Troubleshooting)

国外自适应滤波器经典教材ppt，课后习题答案，课程部分代码(Foreign adaptive filter classic textbook ppt, answers to the questions, the course of the code)

matlab入门到提高，全面讲解了matlab的使用(Introduction to matlab improved overall on the use of the matlab)

It randomizes the order of vectors within the matrices