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net
说明: 使用python语言实现复杂网络SIR和SIS模型编程(SIR AND SIS model with python language)
- 2020-08-13 10:58:33下载
- 积分:1
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IEEE39_BPA_PSSE
基于bpa的IEEE39节点算例,包含暂态数据和稳态数据(Example of IEEE39 node based on BPA)
- 2021-06-21 19:30:01下载
- 积分:1
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map
用于绘制电机效率等高线图的程序,横坐标的转速,纵坐标转矩(A program for drawing contour diagrams of motor efficiency,the speed of the abscissa and the torque of the ordinate.)
- 2018-09-06 18:17:01下载
- 积分:1
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三相三电平逆变器的两个相同电路进行建模power_3level
说明: 该模型是对50kW、380V、50Hz三相三电平逆变器的两个相同电路进行建模。IGBT逆变器采用SPWM技术,(8kHz载频)将直流电源从a +/-200Vdc源转换为220V AC, 50Hz。逆变器通过75kVA 220/380V变压器输入50kW电阻负载。变频器输出采用L-C滤波器滤除主要产生于8kHz开关频率倍数(Fh=n*8000 +/-k*50Hz)附近的谐波频率Fh。逆变器所需的12个逆变脉冲由PWM发生器块产生。该系统以恒定的调制指标在开环中工作。
电路1使用三电平桥块对逆变器进行建模。电路2使用独立的IGBTs和二极管块。用开/关延时块模拟死区,仅在电路1上应用。(It is easy for us)
- 2020-07-14 09:08:52下载
- 积分:1
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original
逆流套管式换热器仿真小程序,工质物性调用refprop,所以需要自行嵌套refprop(Counter flow sleeve heat exchanger simulation small program, physical properties call RefProp, so need to self nest RefProp)
- 2018-10-04 11:28:41下载
- 积分:1
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boost
说明: 状态空间Boost建模,用增广系统进行状态反馈控制恒压(The state space boost model is built, and the augmented system is used to control the constant voltage)
- 2020-12-28 14:44:21下载
- 积分:1
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周期边界条件
说明: 周期边界,通过python代码实现,abaqus多尺度仿真,有效性能计算,复合材料(Periodic boundary, implemented by Python code, ABAQUS multi-scale simulation, effective performance calculation, composite materials)
- 2020-02-03 16:00:05下载
- 积分:1
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PowerAngle_Sim
说明: 功角曲线测试实验的PSCAD模型,极限切除角实验,等面积法则(Test experiment of power angle curve)
- 2019-06-26 22:53:01下载
- 积分:1
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Large-Scale-Antenna-Arrays-master
说明: 这篇论文研究的是结合了Small Cell, Massive MIMO和Full-duplex这三种5G关键技术的二层异构网络场景,为了消除干扰使得网络总吞吐量达到最大,提出了三种算法。(Small Cell, Massive MIMO and Full-duplex)
- 2019-12-18 20:25:47下载
- 积分:1
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MaCA-master
说明: 中国电子科技集团公司认知与智能技术重点实验室发布的MaCA(Multi-agent Combat Arena)环境,是国内首个可模拟军事作战的轻量级多智能体对抗与训练平台,是多智能体对抗算法研究、训练、测试和评估的绝佳环境,可支持作战场景和规模自定义,智能体数量和种类自定义,智能体特征和属性自定义,支持智能体行为回报规则和回报值自定义等。(MaCA (multi agent combat) issued by the Key Laboratory of cognitive and intelligent technology of China Electronic Technology Corporation Arena) environment is the first lightweight multi-agent confrontation and training platform that can simulate military operations in China. It is an excellent environment for the research, training, testing and evaluation of multi-agent confrontation algorithms. It can support the customization of battle scenarios and scales, the number and types of agents, the characteristics and attributes of agents, and the behavior return rules and values of agents And so on.)
- 2021-04-28 23:08:43下载
- 积分:1