Adaptive Neural Network-Based Resilient Output Feedback Control of Cyber-Physical Systems Under Multi-Channel Stochastic False Data Injection

Adaptive Neural Network-Based Resilient Output Feedback Control of Cyber-Physical Systems Under Multi-Channel Stochastic False Data Injection

Cyber-physical systems (CPSs) are prone to cyber-attacks, which can cause them to malfunction in the presence of a malicious attacker. To resolve this dilemma, an observer-based controller based on neural networks (NNs) has been employed in this study to provide a resilient output feedback approach...

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Bibliographic Details
Main Authors: Muhammad Mamoon, Muhammad Rehan, Ghulam Mustafa, Naeem Iqbal, Ijaz Ahmed, Muhammad Khalid
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Neural networks
false data injection
cyber-physical systems
resilient control
stochastic cyber-attacks
Online Access:https://ieeexplore.ieee.org/document/10804162/
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