Finite-time event-triggered sliding mode control for fuzzy singular systems under cyber-attacks

This paper investigates a novel secure control scheme for a particular class of Takagi-Sugeno (TS) fuzzy singular systems susceptible to deception attacks. During these attacks, adversaries can randomly introduce erroneous data into the output and control signals. The proposed strategy addresses the impact of attacks and disturbances using an observer-based sliding mode control (SMC) approach. Moreover, an event-triggering protocol is implemented to manage network resources efficiently. Furthermore, by employing the stochastic Lyapunov theory and the finite-time analysis method, sufficient conditions are established to ensure the finite-time boundedness of the resulting closed-loop system throughout both the reaching and sliding motion phases. To mitigate the attack's effects and improve the system's performance, the Secretary Bird Optimization Algorithm (SBOA) with the linear matrix inequality (LMI) is explored as a new approach for designing the optimal gains of controllers and observers. Finally, a simulation study based on a disc rolling on a surface is performed to showcase the efficacy and resilience of the proposed control scheme.