Related Experiment Video
Updated: Jun 29, 2025
06:04
Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
Published on: February 14, 2025
342
Input-to-State Stability of Switched Network Control Systems Under Unknown Deception Attacks.
IEEE Transactions on Cybernetics
|April 2, 2024
Summary
This study addresses switched network control system (SNCS) stability against unknown deception attacks. Novel methods ensure system stability despite these attacks, enhancing security for networked systems.
Area of Science:
- Control Systems Engineering
- Cybersecurity
- Networked Systems
Background:
- Switched Network Control Systems (SNCSs) face vulnerabilities from deception attacks.
- Attacks involve unknown, bounded false information, potentially state-dependent.
- Bernoulli processes with unknown probability distributions characterize these attacks.
Purpose of the Study:
- To investigate the input-to-state stability (ISS) of SNCSs under unknown deception attacks.
- To develop novel conditions for ensuring SNCS stability despite adversarial actions.
- To enhance the robustness of SNCSs against cyber threats.
Main Methods:
- Utilizing input-to-state stability (ISS) tools.
- Applying the convex combination method for analysis.
- Developing an improved lemma for SNCS stability analysis.
- Deriving attack-independent sufficient conditions for ISS.
Main Results:
- Established sufficient conditions for ISS under mode-dependent average dwell time switching.
- Obtained sufficient conditions for ISS under stochastic switching.
- Demonstrated that system switching can enhance stability despite non-ISS subsystems.
- Showcased robustness against unknown deception and denial-of-service attacks.
Conclusions:
- The proposed methods provide effective solutions for SNCS stability under unknown deception attacks.
- System switching strategies can be leveraged to improve ISS performance.
- The results offer enhanced robustness for SNCSs in adversarial environments.
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