Guaranteed Performance Security Control of Nonlinear Systems Under Hybrid Cyber Attacks via a Memory-Based Event-Triggered Mechanism

This article investigates the event-triggered guaranteed-performance security control problem for nonlinear systems subject to hybrid cyber-attacks [denial-of-service (DoS) attacks and deception attacks]. First, a fuzzy-model-based description approach is employed to characterize the nonlinear system, effectively capturing its complex dynamic characteristics. Second, to alleviate the communication burden in bandwidth-constrained networks, a history-dependent event-triggering mechanism incorporating historical transmission data is designed, dynamically optimizing information transmission efficiency between sensors and controllers. Third, a security control framework with prescribed performance metrics is constructed. By integrating Lyapunov functional theory andmatrix decomposition techniques, sufficient conditions ensuring system stability are rigorously derived. This guarantees that the proposed guaranteed-performance security control scheme can effectively counteract malicious impacts induced by cyber-attacks. Finally, comprehensive simulation case studies validate the effectiveness of the proposed security control method, demonstrating its robustness against hybrid attack patterns while maintaining desired control performance. The results show that, compared to the traditional event-triggered mechanism (ETM) and the dynamic event-triggered mechanism (DETM), the dynamic memory DETM (DMETM) proposed in this article reduces the number of triggers by approximately 63.87%and 18.49%, respectively; compared to the recent adaptive memory event triggering mechanism (AMETM), it further reduces communication overhead by approximately 8.12%. Furthermore, the system maintains exponential mean-square stability under mixed attacks and achieves the specifiedH_∞ performance level..