nodo_modbus

说明：  HTML5 Canvas微信运动步数折线图基作，模拟微信运动步数折线图效果。(HTML5 Canvas Wechat Motion Step Breakdown Map is used to simulate the effect of Wechat Motion Step Breakdown Map.)

说明：  外汇MT4双线MACD指标。免费赠送，欢迎下载！(Foreign exchange MT4 double-line MACD index. Free gift, welcome to download!)

51的CRC代码-51 CRC code

里面有树莓派的自编手册，基本教程，有爱自取。(There are handwritten manuals for raspberry, basic tutorials, and self love.)

说明：  三合一破解工具迅速让你站在顶端的男人。是男人就问道(Three in one cracking tool quickly lets you stand at the top of the man. A man asked)

三相的光伏发电模块，是传统的PI环控制。控制效果比较稳定，电压外环和电流内环(Three-phase photovoltaic module, PI loop control.)

说明：  关于车辆与桥梁的振动问题，主要是车辆动力系统与桥梁动力系统之间的耦合振动问题。车辆以一定的速度在桥上运行，会使桥体产生振动，同时车辆的振动也会使桥体产生振动。桥也会影响车辆的振动。这种相互影响、相互作用的问题，就是车辆与桥梁之间的耦合振动问题。我们用MATLAB写出根据Newmark-beta方法的代码来处理耦合方程。(The vibration of the vehicle and bridge is mainly the coupling vibration between the vehicle power system and the bridge dynamic system. The vehicle running on the bridge at a certain speed will make the bridge vibrate, and the vibration of the vehicle will also make the bridge vibrate. Bridges can also affect the vibration of vehicles. This interaction problem is the coupling vibration between vehicle and bridge. We use Matlab to write the code according to the Newmark beta method to deal with the coupling equation.)

智能预测控制及MATLAB实现：系统论述了神经网络控制、模糊逻辑控制和模型预测控制的基本概念、工作原理、控制算法，以及利用MATLAB语言、MATLAB工具箱函数和SIMULINK对其实现的方法。(Intelligent predictive control and MATLAB implementation: The basic concepts, working principle and control algorithm of neural network control, fuzzy logic control and model predictive control are discussed systematically, and the method of MATLAB language, MATLAB toolbox function and SIMULINK is used to realize it.)

网页标题，内容读取readability(Page title, content read readability)

说明：  本文分析微网中微电源包括光伏发电、风力发电、微燃机、柴油发电机和燃料电池的电气特性，构建微电网优化运行的模型，以微网的经济成本和环境成本最小为目标函数，充分考虑了电压越限、功率平衡、微电源出力限制等约束条件，应用鸡群算法进行求解。 解决了粒子群算法易早熟、易陷入局部最优解的问题。并通过典型的微网系统进行仿真分析，仿真结果验证了该算法的有效性。(In this paper, the electrical characteristics of micro-power sources in micro-grid, including photovoltaic power generation, wind power generation, micro-gas engine, diesel generator and fuel cell, are analyzed. The optimal operation model of micro-grid is constructed. The objective function is to minimize the economic cost and environmental cost of micro-grid. The constraints of voltage overshoot, power balance and output limitation of micro-power are fully considered. The chicken swarm algorithm is applied to solve the problem. Particle swarm optimization (PSO) is easy to premature and fall into local optimal solution. The simulation results of a typical microgrid system show the effectiveness of the proposed algorithm.)