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صفحه اصلی
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نهمین کنفرانس بین المللی کنترل ، ابزار دقیق و اتوماسیون
Cloud-Based Model Predictive Control for Consensus Problem of Controlled Automated Vehicles
نویسندگان :
Ali Karami Ghanavati
1
Mohammad Shakerpour
2
Ali Akbar Safavi
3
Nader Meskin
4
1- دانشگاه شیراز
2- Qatar University
3- دانشگاه شیراز
4- Qatar University
کلمات کلیدی :
Cloud Computing،Consensus،Multi Agent Systems،Model Predictive Control،Controlled Automated Vehicles
چکیده :
This paper considers the problem of velocity consensus in autonomous vehicles using a cloud-based Model Predictive Control (MPC) approach. A centralized structure is proposed to gain the most possible computational potential of the cloud to find the best optimized solution for the MPC. The proposed controller is implemented on the Amazon cloud servers. Simulation results are presented to demonstrate the effectiveness of our proposed methodology.
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بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 41.3.2