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Proceedings ArticleDOI

Output-Only Fault Detection and Mitigation of Networks of Autonomous Vehicles

TLDR
In this article, the authors proposed a transmissibility-based health monitoring approach for fault detection in an autonomous vehicle platoon, where a sliding mode controller is used to mitigate the failure of either a physical component of a vehicle or a communication link between two vehicles.
Abstract
An autonomous vehicle platoon is a network of autonomous vehicles that communicate together to move in a desired way. One of the greatest threats to the operation of an autonomous vehicle platoon is the failure of either a physical component of a vehicle or a communication link between two vehicles. This failure affects the safety and stability of the autonomous vehicle platoon. Transmissibility-based health monitoring uses available sensor measurements for fault detection under unknown excitation and unknown dynamics of the network. After a fault is detected, a sliding mode controller is used to mitigate the fault. Different fault scenarios are considered including vehicle internal disturbances, cyber attacks, and communication delays. We apply the proposed approach to a bond graph model of the platoon and an experimental setup consisting of three autonomous robots.

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Citations
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Proceedings ArticleDOI

Transmissibility-based DAgger For Fault Classification in Connected Autonomous Vehicles

TL;DR: In this paper , the authors proposed using transmissibility operators, which are relationships that relate a set of velocities with another in the platoon, to classify the faults in CAV platoon.
Proceedings ArticleDOI

Fault Detection on a Class of Robotic Manipulators using Time-variant Transmissibilities

TL;DR: In this article , a recursive least squares algorithm is used to optimize what time-variant dynamics to include in the transmissibility operator and what dynamics to push to the system nonlinearities over time.
Proceedings ArticleDOI

Fault Detection on a Class of Robotic Manipulators using Time-variant Transmissibilities

TL;DR: In this article , a recursive least squares algorithm is used to optimize what time-variant dynamics to include in the transmissibility operator and what dynamics to push to the system nonlinearities over time.
References
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Disturbance propagation in vehicle strings

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Integration challenges of intelligent transportation systems with connected vehicle, cloud computing, and internet of things technologies

TL;DR: This article presents and discusses some of the integration challenges that must be addressed to enable an intelligent transportation system to address issues facing the transportation sector such as high fuel prices, high levels of CO2 emissions, increasing traffic congestion, and improved road safety.
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Journal ArticleDOI

Dynamical Modeling and Distributed Control of Connected and Automated Vehicles: Challenges and Opportunities

TL;DR: This paper introduces a decomposition framework to model, analyze, and design the platoon system, and the basis of typical distributed control techniques is presented, including linear consensus control, distributed robust control, distributing sliding mode control, and distributed model predictive control.
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