Resilient Event Triggered Interval Type-2 Fuzzy Sliding Mode Control for Connected and Autonomous Vehicles Subjected to Multiple Cyber Attacks
Connected and autonomous vehicles (CAVs) are considered a hot area of research in the field of intelligent transportation systems. However, over the past few years, cybersecurity threats have posed significant challenges to such systems, given the ever-evolving automotive industry. Thus, there is a...
Saved in:
Main Authors: | Amir Mohammed, Craig Ramlal, Lincoln Marine, Fasil Muddeen |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2024-01-01
|
Series: | Journal of Advanced Transportation |
Online Access: | http://dx.doi.org/10.1155/2024/2790548 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Secure Event-Triggered Mechanism for Networked Control Systems under Injection Cyber-Attacks
by: Xiao Cai, et al.
Published: (2022-01-01) -
Towards a Severity Assessment Method for Potential Cyber Attacks to Connected and Autonomous Vehicles
by: Qiyi He, et al.
Published: (2020-01-01) -
High-Order Observer-Based Sliding Mode Control for the Isolated Microgrid with Cyber Attacks and Physical Uncertainties
by: Hao Wang, et al.
Published: (2020-01-01) -
A Hidden Surveillant Transmission Line Protection Layer for Cyber-Attack Resilience of Power Systems
by: Hossein Ebrahimi, et al.
Published: (2025-01-01) -
Predictive Control for Interval Type-2 Fuzzy System with Event-Triggered Scheme
by: Siyao Wang, et al.
Published: (2019-01-01)