Secure event-triggered decentralised control for large-scale system under deception attacks : A dynamic output approach

This article proposes a resilient control framework for securing cyber-physical systems, specifically addressing large-scale interconnected systems operating over constrained networks subject to communication delays and deception attacks. A dynamic event-triggered mechanism (DETM) is proposed to reduce network traffic while preserving control performance. Using the Lyapunov–Krasovskii approach, sufficient conditions guaranteeing mean-square stability with an H∞ performance level are derived, and a decentralised dynamic output-feedback (DOF) controller is designed. To solve the resulting bilinear matrix inequalities (BMIs) and avoid conservative transformations, a homotopy-based iterative algorithm for the co-design of the controller and DETM parameters is employed. The new control scheme is validated through extensive Monte Carlo simulations on a multi-area power system, demonstrating the efficacy of the approach in maintaining system stability and performance under various attack scenarios, thereby making a significant contribution to the security of complex systems in networked environments.