Structure Of The Data Driven Predictive Cloud Control Platform Download Scientific Diagram

Structure Of The Data-driven Predictive Cloud Control Platform | Download Scientific Diagram

Structure Of The Data-driven Predictive Cloud Control Platform | Download Scientific Diagram Download scientific diagram | structure of the data driven predictive cloud control platform from publication: design and implementation of data driven predictive cloud. An original data driven predictive cloud control system is proposed to achieve desired control performance only relying on the input and output data via cloud computing and to compensate the time delays in cloud environment.

Structure Of The Data-driven Predictive Cloud Control Platform | Download Scientific Diagram

Structure Of The Data-driven Predictive Cloud Control Platform | Download Scientific Diagram To achieve the proposed system, a practical data driven predictive cloud control testbed is established and together a cloud edge communication scheme is developed. finally, the simulations and experiments demonstrate the effectiveness of the proposed system. Vs, un manned aerial vehicle (uav) logistics, and intelligent man ufacturing. these industries bring new transformations and challenges for control systems, as they generate massive amo nts of data that traditional control architecture can not adequately process. control, as the core element in these industrial scena. Design and implementation of data driven predictive cloud control system runze gao, yuanqing xia, li dai, zhongqi sun, yufeng zhan. The typical structure of dpccs is shown in fig. 1. the latest input and output data are collected and uploaded to the cloud server.

Structure Of Proposed Data-driven Predictive Controller Block Diagram. | Download Scientific Diagram

Structure Of Proposed Data-driven Predictive Controller Block Diagram. | Download Scientific Diagram Design and implementation of data driven predictive cloud control system runze gao, yuanqing xia, li dai, zhongqi sun, yufeng zhan. The typical structure of dpccs is shown in fig. 1. the latest input and output data are collected and uploaded to the cloud server. In real time control, the computation period for calculating control algorithm is constrained. thus, the amount of the data and the scales of the hankel matrices are restricted, which would affect the real time control quality, especially for the high dimension problem. In this work, a novel workflow based dpc system in cloud edge collaborative architecture is proposed, which decompose the native control mission into distributed cloud workflow with multiple smaller computation tasks. This architecture consists of three layers, which are cloud platform layer, edge layer and user layer. cloud platform layer is on the upper side of this architecture. To achieve the proposed system, a practical data driven predictive cloud control platform rather than only a numerical simulator is established and together a cloud edge communication scheme is developed.

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