On Connected Autonomous Vehicles With Unknown Human Driven Vehicles Effects Using Transmissibility Operators
Author:
Affiliation:
1. Department of Mechanical Engineering, Memorial University, St. John’s, Canada
2. Department of Aeronautical Engineering, Jordan University of Science and Technology, Irbid, Jordan
Funder
Natural Sciences and Engineering Research Council of Canada
Memorial University
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/8856/4358066/09844148.pdf?arnumber=9844148
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1. Adaptive Fault-Tolerant Optimized Platoon Cloud Tracking Control for Heterogeneous Vehicles via Dual Learning Mechanism;IEEE Transactions on Automation Science and Engineering;2024
2. Distributed Fault Detection Scheme for Intelligent Connected Vehicles in a Zero-trust Environment;2023 2nd Conference on Fully Actuated System Theory and Applications (CFASTA);2023-07-14
3. Edge-computing based soft sensors with local Finite Impulse Response models for vehicle wheel center loads estimation under multiple working conditions;Control Engineering Practice;2023-04
4. Sensor fault detection of vehicle suspension systems based on transmissibility operators and Neyman–Pearson test;Reliability Engineering & System Safety;2023-04
5. Distributed Data-Driven Control for a Connected Autonomous Vehicle Platoon Subjected to False Data Injection Attacks;IEEE Transactions on Automation Science and Engineering;2023
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