کنفرانس بین المللی کنترل ، ابزار دقیق و اتوماسیون

صفحه اصلی / نهمین کنفرانس بین المللی کنترل ، ابزار دقیق و اتوماسیون

Cloud-Based Model Predictive Control for Consensus Problem of Controlled Automated Vehicles

نویسندگان :

Ali Karami Ghanavati¹ Mohammad Shakerpour² Ali Akbar Safavi³ Nader Meskin⁴

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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