WebGME-基于Web的通用建模环境 请注意,此存储库包含完整的webgme应用程序,其中包括高度可扩展的图形用户界面,并且是webgme应用程序所依赖的典型依赖项。 要使用不带GUI的webgme框架,请检查 。 直接在浏览器中创建自己的领域特定建模语言(DSML)。 通过绘制基于UML类图的元模型来指定建模概念,它们之间的关系,属性和方面,然后WebGME自动配置其自身以支持DSML。 WebGME促进了协作,其中每个更改都转换为对所有已连接用户的微型提交广播。 基础架构透明地支持轻量级分支方案。 代码生成器和外部工具可以在一致的快照(特定的提交)上工作,而用户可以继续编辑模型。
2024-03-18 15:14:45 2.68MB framework modeling domains cooperative
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Distributed Consensus in Multi-vehicle Cooperative
2023-01-13 11:33:44 10.72MB Distributed Consensus multi-agent
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Cooperative Path Planning of Unmanned Aerial Vehicles
2022-12-14 14:06:46 2.13MB Cooperative Path Planning
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Cooperative Control of Multi-Agent Systems 书籍 Frank L. Lewis 多智能体必备书籍 大名鼎鼎的Frank L. Lewis
2022-11-10 20:24:16 12.51MB 多智能体
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In this letter, we propose a simple orthogonal frequency-division multiplexing (OFDM) scheme for an asynchronous cooperative system, where OFDM is implemented at the source node, and time-reversion and complex conjugation are implemented at the relay nodes. The cyclic prefix (CP) at the source node is used for combating the timing errors the relay nodes. In this scheme, the received signals at the destination node have the Alamouti code structure on each subcarrier, and thus, it has the fast symbol-wise ML decoding. It should be emphasized that the relay nodes only need to implement the time-reversion, some sign changes plus to minus, and/or the complex conjugation to the received signals, and no IDFT or DFT operation is needed.It is shown that this simple scheme achieves second-order diversity gain without the synchronization requirement at the relay nodes.
2022-09-23 22:00:59 105KB to_the_letter cooperative_nodes
Complete Algorithms for Cooperative Pathfinding Problems
2022-08-29 19:29:49 761KB CompleteAlgorit
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小区协作算法与架构,包括Turbo基站,联合预编码等等
2022-08-10 10:13:41 8.94MB Cooperative Cellular Network
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Cooperative localization is still a challenging task for cooperative robot control. CoLo is a performance evaluation system for two-dimensional cooperative localization algorithms. The system consists of a physical experiment (CoLo-PE) for data collection and a software analysis tool (CoLo-AT) using real-world datasets to evaluate the performances of users’ cooperative localization algorithms. The goal of this project to let users to create and evaluate their own algorithms with some existing al
2022-05-10 14:05:15 369.24MB navigation
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