Conjugate_gradient_procedure

以中等纯度的精馏塔为研究对象，考虑到不等分子溢流的影响和非理想的汽液平衡，可以得到塔顶产品轻组分含量Y与回流量L之间的传递函数为： 其中由于现场环境干扰，输出带有测量噪声是（0，1）的正态分布序列，它的方差为ɑ=0.5。由于输出中带有很大的噪声信号，故将数字滤波技术中常见的低通滤波器由于偏差控制，滤掉其中的噪声信号，然后在对其进行PID计算，得到实际的控制量。在该方法在噪声较强的环境下，可以得到较好的控制效果。 控制要求： 1、 采用带低通滤波器的增量式PID将塔顶轻组分含量控制在0.99 2、 用ISTE法整定PID参数 3、 在控制过程中，到150周期加入幅度为-20 的阶跃干扰，在第300周期干扰消失。分析PID参数的抗干扰性。 (Medium-purity distillation column, taking into account ranging from molecular overflow and non-ideal vapor-liquid equilibrium, the transfer function between the light component content of the top product Y and the back flow L can be obtained as: Because the field of environmental interference, output with the measurement noise is a normal distribution (0,1) sequence, its variance ɑ = 0.5. As with a lot of noise in the output signal, it will be common in low-pass filter in the digital filtering techniques due to the bias control, filter out the noise signal, then its PID, the actual amount of control. In the strong noise environment, you can get better control effect. Control requirements: 1, using the incremental PID with a low-pass filter to the top of the tower content of light components in the 0.99 2, the method of ISTE tuning PID parameters 3, in the control process, to 150 cycles join the range of-20 step disturbance, disappearance of interference in the first 300 c)

CAPABILITY OF STATCOM AND SSSC DAMPING CONTROL TO IMPROVE POWER SYSTEM OSCILLATION STABILITY

Bellman-Ford short path algorithm

光伏阵列模型，最大功率点跟踪控制，高频升压，并网输出(PV array model, maximum power point tracking control, high frequency boost, and network output)

黄锷论文中EMD和HHT的源程序，已经打包压缩,解压后可以使用(Wong Ngok paper on EMD and HHT source, has been packaged compression, decompression can be used after)

说明：  数据通道剥离伪码后的载频估计,数据通道剥离伪码后的载波估计问题。对直接序列扩频系统的数据通道，假定接收设备已“完美”地锁定接收信号伪码，并实现了伪码剥离其中，信号幅度、电文、载波多普勒和载波相位均未知。电文的速率为10Hz。由于信源与接收端信号传输时延的不确定性，收到的信号电文是从某个未知时刻开始的。 利用数据文件 估计信号幅度、载波多普勒和载波相位(Data channel after stripping pseudo-code carrier frequency estimation)

文章展示了一种新的方法用于功率系统中短期负载预测。提出的方案使用混沌时间序列分析基于确定性混沌去捕捉复杂的负载行为特征。确定性的混沌允许我们重构一个时间序列并决定输入的变量个数。这篇文章描述了混沌时间序列对日间功率系统峰值的分析。确定性混沌的非线性图形通过多层感知器的神经网络得到。提出的方案在一个例子中具体阐述。(This paper presents a new approach to short-term load forecasting in power systems. The proposed method makes use of chaos time series analysis that is based on deterministic chaos to capture characteristics of complicated load behavior. Deterministic chaos allows us to reconstruct a time series and determine the number of input variables. This paper describes chaos time series analysis of daily power system peak loads. The nonlinear mapping of deterministic chaos is identified by the multilayer perceptron of an artificial neural network. The proposed approach is demonstrated in an example.)

雷达系统仿真，发射信号为13位巴克码和线性调频混合调制的信号(Radar System Simulation, firing signal for the 13 Barker code modulation and linear frequency modulation of mixed signal)

把区域划分成矩形网格，找到每个网格的中心点，把每个网格当做一个圆环计算每个圆环的磁场，然后调用linprog函数就求出场分布了。不要求你把线圈矩形化，也不要求屏蔽场。(The region is divided into rectangular grids and the center points of each grid are found. Each grid is used as a circle to calculate the magnetic field of each ring, and then the field distribution is called by the linprog function. It does not require you to rectangle the coil, nor does it require shielding.)

双DBR反射镜组成的微腔模式及透射光谱、反射光谱计算(Double DBR mirror consisting of micro-resonator modes and transmission spectra, reflectance spectra)