Event-Triggered Adaptive Finite-Time Control Using a Fuzzy State Observer for Nonlinear Cyber-Physical Systems Under...

Area of Science:

• Control Systems Engineering
• Cyber-Physical Systems Security
• Nonlinear Systems Theory

Background:

• Cyber-physical systems (CPSs) are vulnerable to malicious deception attacks, compromising their stability and performance.
• Existing control strategies often rely on restrictive assumptions about attack forms, limiting their applicability.
• State unavailability in CPSs poses a significant challenge for designing effective control mechanisms.

Purpose of the Study:

• To develop a novel event-triggered adaptive finite-time control strategy for nonlinear CPSs.
• To address a more general class of malicious deception attacks than previously considered.
• To ensure finite-time stability and bounded system signals under attack conditions.

Main Methods:

• Design of an improved fuzzy state observer to estimate unavailable system states.
• Application of coordinate transformation incorporating estimated states for system stabilization.
• Construction of singularity-free finite-time virtual controls to circumvent traditional design issues.
• Implementation of a relative threshold event-triggered scheme to minimize communication overhead.

Main Results:

• The proposed control strategy guarantees semi-globally bounded signals in finite time.
• The system demonstrates robustness against a more general form of deception attacks.
• The event-triggered scheme effectively reduces communication load without compromising performance.
• Absence of Zeno behavior is proven for the developed control strategy.

Conclusions:

• The developed event-triggered adaptive finite-time control strategy offers enhanced security and stability for CPSs.
• The fuzzy state observer and singularity-free control design are key innovations.
• The strategy is validated through simulations, demonstrating its practical applicability.