Secure Cooperative Path Following of Autonomous Surface Vehicles Under Cyber and Physical Attacks
Author:
Affiliation:
1. School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Melbourne, VIC, Australia
2. School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China
Funder
National Natural Science Foundation of China
Project of Science and Technology Commission of Shanghai Municipality
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Artificial Intelligence,Control and Optimization,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/7274857/10187697/10108032.pdf?arnumber=10108032
Reference36 articles.
1. Advances in Line-of-Sight Guidance for Path Following of Autonomous Marine Vehicles: An Overview
2. MPC-Based Cooperative Control Strategy of Path Planning and Trajectory Tracking for Intelligent Vehicles
3. Adaptive Neural Control of Underactuated Surface Vessels With Prescribed Performance Guarantees
4. Safety-Critical Model-Free Control for Multi-Target Tracking of USVs with Collision Avoidance
5. Resource-Efficient Platooning Control of Connected Automated Vehicles Over VANETs
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