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it use pc com port to receive and show over gui

在优化问题中，用于求解下列形式非线性规划问题(In optimization problem, the following form for solving nonlinear programming problem)

不同于普通教程烦躁的理论和使用方法的讲述，本资料提供了Matlab实际操作、程序编写的大量实例，对于了解Matlab基本用法的学习者有很好的指导作用。(Unlike the theory of general annoyance and use tutorial method described, this information provides a Matlab actual operation of a large number of examples of programming for the basic use of the learner to understand Matlab has a good guide.)

说明：  bp是MATLAB应用中的预测算法，含有例题(BP and MATLAB)

一个变对象最小二乘法的matlab程序和仿真框图(A variable object least squares procedure and simulation diagram matlab)

椭圆带通滤波器设计，根据椭圆原型滤波器，进行双线性变换和低通转带通，获得所需滤波器(Elliptic bandpass filter design based on elliptic prototype filter, the bilinear transformation turn bandpass and low-pass, to obtain the desired filter)

通过编写该程序，首先输入点，然后点击拟合。(Through the preparation of the program, the first input point, and then click on the fitting.)

首先分析了瑞利衰落信道统计特性，并在此基础上给出了clarke模型，然后提出仿真方法，包括成形滤波法、jakes仿真模型及其多种改进方法，接着阐述了上述仿真模型的软件实现过程，并利用matlab进行了计算机仿真，然后给出衰落信号的仿真信号和分析结果，仿真结果证明了提出的仿真模型与理论曲线匹配度高，可以很好地模拟无线衰落信道(First analyze the statistical properties of the Rayleigh fading channel, and clarke model is given on this basis, and then asked the simulation methods, including the forming of the filter method, the the jakes simulation model and a variety of improvement, then described the simulation model of the software implementationprocess, and using matlab computer simulation, and then gives the simulated signals and analysis results of the fading signals, simulation results show the proposed simulation model with the theoretical curve to match high, can simulate the wireless fading channel)

The model used for creating the reference voltage is shown in Fig. 4. First, photovoltaic output current (Ipv) and output voltage (Vpv) are passed through a first order low pass filter with a magnitude of G = 1 and a time constant of T = 0.01 seconds in order to filter out the high frequency components or harmonics from these signals as shown in Fig. 5 and Fig. 6. The filtered current and voltage signals (Ipv_F and Vpv_F) are then fed into the MPPT control block that uses the Incremental Conductance Tracking Algorithm. An algorithm that is based on the fact the slope of the PV array power curve shown in Fig. 7 is zero at the Maximum Power Point (MPP), positive on the left of the MPP, and negative on the right. The MPP can thus be tracked by comparing the instantaneous conductance (I/V) to the incremental conductance (∆ I/∆ V) [11] as in (1):

code of mopso in matlab