multivariate-grey-prediction-model-

对MATLAB，SIMULINK的信号源频谱分析进行了讲解(On MATLAB, SIMULINK signal source spectrum analysis was to explain)

搜集了一些关于matlab中simulink仿真的设置的一些资料，应该有人需要的(Collected some information on setting matlab simulation in simulink some of the information, it should be someone in need)

本文件主要内容是讲解关于matlab中画图（地图）等等(MATLAB plot)

This is the new DC circuit breaker. The breaker is implemented in MATLAB Simulink.

描述倒立摆的仿真图，采用模糊控制的算法和最优控制策略。(The simulation diagram describing the inverted pendulum, fuzzy control algorithm and the optimal control strategy.)

OFDM峰均比经典算法matlab程序，包括PTS，SLM，限幅等(OFDM PAPR reducing source codes,including PTS SLM and Cliping)

将yuv格式的图像转换成jpg格式的和avi格式(turn the image of .yuv to .jpg and .avi)

研究采用大单元间距非周期阵列的方法抑制和避免栅瓣，并在单元级非周期阵列形式的基础上研究适合于大型相控阵的子阵级非周期阵列形式，给出几种非周期阵列的形式及相应的波瓣图(study the method of aperiodic array using big space of elements to suppress and avoid the grating lobe, and study the forms of aperiodic array in the sub-array level which are suitable for large phased array on the base of the aperiodic array in the element level )

lingjian.m-----蒙特卡罗方法 lingjian.m使用零件初始值，用蒙特卡罗方法算出总费用。其中使用了自己编制的正态分布随机数发生器产生正态分布随机数。lingjian.m是对蒙特卡罗方法的一次练习。 accyouhua为标定值的函数，而lingjian不是一个函数，在其中已给出了一组标定值的值。 退火确定标定值/unitanneal()----模拟退火 连续型多个变量组合优化问题 这是对模拟退火方法的一次练习，结果证明模拟退火确实是一个行之有效的方法。 当参数选择较好时（一般也伴随着运行时间的加长），模拟退火的结果较好，然而用MATLAB的FMIMCON()一般可达到更高的精度。(lingjian.m---- Monte Carlo method. 氀椀渀最樀椀愀渀.m Part initial value, using the Monte Carlo method to calculate the total cost. The preparation of their own normal distribution random number generator to generate normally distributed random numbers. lingjian.m is the first practice of the Monte Carlo method. accyouhua calibration value the function lingjian not a function, which gives the value of a set of calibration values. Annealing to determine the calibrated value/unitanneal ()---- Simulated Annealing 吀栀攀 continuous multiple variables combinatorial optimization problems 吀栀椀猀 is an exercise of the simulated annealing method, the results show that the simulated annealing is an effective method. 圀栀攀渀 the parameter selection is better (generally accompanied by a longer running time), simulated annealing results, however using MATLAB FMIMCON () generally achieve higher accuracy.)

displacement autopilot coding for aircraft using matlab