Adaptive Event-Triggered Compensation Control for Nonlinear Semi-Markov Jump Systems With False Data Injection Attacks

Jumping Threshold-Based Dynamic Event-Triggered Self-Learning Control for IT-2 Fuzzy Semi-Markov Model Under Attack Detection and Mitigation

This article investigates the optimal control synthesis for a class of semi-Markov jump systems subjected to external disturbances, by integrating advanced event triggered communication and resilient attack mitigation strategies. In an effort to accurately capture the inherent stochastic switching dynamics and high-ord...

Flexible performance-adaptive secure control for UAVs under Markovian FDI attacks

Periodic Event-Triggered SMC for Unknown Linear Systems Under Dual-Channel FDI Attacks: A Data-Based Method.

This work considers the problem of event-triggered sliding mode secure control for unknown linear systems, in which the transmission of sampled states is regulated via a periodic event-triggered mechanism (ETM); meanwhile, the false data injection (FDI) attack may occur in the dual channels (S/C and C/A channels). Firs...

Observer‐Based Adaptive Sliding Mode Control for Fuzzy Markov Jump Systems Subject to Deception Attacks: A Q‐Learning Event‐Triggered Communication Protocol

This article addresses the secure control problem for nonlinear Markov jump systems subject to communication constraints and false data injection attacks. The Takagi–Sugeno (TS) fuzzy model is employed to describe the systems under consideration, and the Q‐learning concept is utilized to enhance the dynamic event‐tri...

Event-Triggered Self-Learning Parallel Tracking Control for Continuous-Time Nonlinear Systems With Actuator Faults.

This article explores an event-triggered self-learning parallel tracking control strategy for continuous-time nonlinear systems with actuator faults. To mitigate the impact of actuator faults, an enhanced performance index function is developed based on the unknown upper bound of such faults. Furthermore, an augmented...

Reinforcement learning-based predefined-time secure control for fractional-order nonlinear systems with sensor and actuator attacks.

A secure control problem is investigated for constrained fractional-order nonlinear systems subject to both sensor and actuator attacks. To handle the effects induced by the dual attacks, a nonlinear mapping-based coordinate transformation is elaborately introduced to convert the original state-constrained system into...