Resilient Observer-Triggered Adaptive Control for Cyber-Physical Systems Under Time-Vary Stealthy FDI Attacks

Adaptive Event-Triggered Security Control for Nonlinear CPSs Under Coexisting FDI Attacks and Actuator Faults

A novel adaptive discrete event-triggered communication scheme (ADETCS) is proposed that effectively counteracts coexisting attacks and faults while significantly reducing resource consumption.

Network-based event-triggered security control for cascade switched systems under hybrid attacks.

Simulations on a steam temperature cascade control system validate the effectiveness of the proposed method, demonstrating 20% faster convergence and a 67% reduction in oscillations compared with a conventional method while maintaining stability and security under hybrid attacks.

Event-Triggered Observer-Based Secure Fault Estimation and Fault-Tolerant Control for Markov Jump Systems

This paper investigates the secure fault estimation (FE) and fault-tolerant control (FTC) problems for Markov jump systems (MJSs) under limited communication resource. First, a dynamic event-triggered mechanism (ETM) is introduced into the sensor-observer channel to alleviate communication burden. Simultaneously, to ensure network security, a class of deception attacks described by Bernoulli random variables is considered during the transmission of sampled outputs. Based on these, a novel dynamic event-triggered intermediate observer (IO) is constructed, which utilizes the sampled outputs corrupted by attack signals to estimate states, faults and disturbances of MJSs. This observer not only reduces data transmission but is also capable of resisting deception attacks. Furthermore, a fault-tolerant controller is designed to maintain system stability. Second, with the aid of augmentation methods, linear matrix inequality techniques and stochastic stability theory, a joint design method for the observer, fault-tolerant controller and dynamic ETM is developed by constructing a model-dependent Lyapunov function that incorporates a dynamic variable. Third, it is proven that the introduced dynamic ETM is free from Zeno behavior. Finally, the effectiveness of the proposed method is validated on an F-404 aircraft engine model. Note to Practitioners—MJSs, as a class of stochastic switching systems, are capable of accurately describing abrupt variations in system structures or parameters that commonly occur in practical engineering scenarios. This capability has enabled their widespread application in critical fields such as aerospace, power and communications. In these fields, frequent equipment faults pose a significant threat to system safety. On the other hand, with the increasing prevalence of networked systems, continuous data transmission imposes heavy communication burdens and increases energy consumption. Meanwhile, data transmitted over networks is vulnerable to cyber attacks. To address these issues, this paper proposes a FTC method based on a dynamic event-triggered observer. Specifically, a dynamic ETM is incorporated into the observer design, which determines whether data should be transmitted according to real-time system states, thereby avoiding unnecessary communication. Moreover, the designed observer is capable of accurately estimating system states, disturbances and faults using measurements corrupted by deception attacks. Finally, the estimated information is integrated into the fault-tolerant controller for online compensation. In summary, this paper provides a practical FTC solution for MJSs subject to communication resource constraints and deception attacks.

Resilient event-triggered consensus control of discrete-time fractional-order multi-agent systems under hybrid cyber attacks

Secure Observer-Based Event-Triggered Control of Microgrid Load Frequency Control System Under DoS Attack

This study proposes a secondary remote observer-based DoS attack tolerant event-triggered control framework for an islanded microgrid load frequency control system with virtual inertia/auxiliary control subsystem while accounting for multiple practical challenges. In this work, a microgrid configuration with a remotely located secondary controller and state observer is considered, and an event-triggered communication mechanism is adopted to enhance communication efficiency in the secondary control loop. The secondary observer and controller gains adhering to a prescribed $H_{\infty}$ performance bound are derived leveraging Lyapunov-Krasovskii functional-based stability analysis and DoS attack tolerance is achieved using a modified event-triggering condition accounting DoS-induced extra output error. The stability conditions are derived by considering key system challenges, including the time-varying secondary measurement path transmission delay, event-triggering condition, remote implementation of the observer, and additional output error induced by DoS adversary. Finally, the efficacy of the proposed secondary control approach is demonstrated using Monte-Carlo simulation across different disturbance scenarios.

Resilient Prediction Event-Triggered Control Based on Attack Detection for Cyber-Physical Systems

This article focuses on cyber-physical systems subject to unknown disturbances and denial-of-service attacks. To ensure input-to-state stability, an event-triggered predictive control update scheme based on attack detection and a predictor is proposed. Firstly, a attack detection strategy is adopted, which makes full use of historical signals to detect whether the system is under attack at the current moment. Then, an attack detection-based control update scheme is proposed to compensate for state loss, and an event-triggered mechanism integrating detection and prediction is established to reduce resource consumption while ensuring system stability. The results show that the closed-loop cyber-physical systems can achieve input-to-state stability under the proposed control update scheme and event-triggered mechanism. An important advantage of the proposed control update scheme is that the cyber-physical systems select different state inputs according to the attack status at the event-triggered moment, thereby enabling the system to tolerate more adverse denial-of-service attacks. Finally, a simulation case is provided to verify the effectiveness of the proposed method.