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Event-triggered model predictive control for autonomous vehicle active obstacle avoidance

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Transactions of the Institute of Measurement and Control

Published online on

Abstract

Transactions of the Institute of Measurement and Control, Ahead of Print.
In this paper, a strategy for safe driving of autonomous vehicles in complex environments with obstacles is proposed, which combines a double-layer model predictive control (DLMPC) with an event-triggered mechanism. At first, a safe collision distance ...