Adaptive fuzzy finite-time observer-based control for nonlinear cyber-physical systems with actuator hysteresis and sensor deception attacks

Key Points

• Adaptive control effectively manages nonlinear cyber-physical systems and responds to actuator hysteresis—ensuring better system performance.
• The proposed fuzzy logic approach integrates finite-time observers to enhance stability under sensor deception attacks in complex environments.
• Analysis of control strategies across various scenarios reveals significant resilience improvements against potential external threats.
• Results highlight the need for advanced control techniques to mitigate vulnerabilities in cyber-physical systems under real-world attack conditions.