Composite fault reconstruction and tracking control model for interval type-2 fuzzy-based cyber-physical systems: The sliding mode observer method

This study formulates the unified fault reconstruction and fault-tolerant tracking (FTT) control framework for the cyber-physical (C-P) systems subject to time-varying actuator faults, nonlinearity, and deception attacks. Primarily, the interval type-2 fuzzy (IT2-F) process efficiently approximates the nonlinear C-P systems. Further, the unknown actuator faults are proficiently reconstructed through IT2-F-based sliding mode (SM) observer technique. Then, the active FTT control strategy is utilized in this work to stabilize the tracking error system. Precisely, the reference system is designated by means of IT2-F approach. To represent the deception attacks, the Bernoulli random variable is employed in the planned controller. In a nutshell, the proposed SM observer-based FTT control assures satisfactory tracking outcomes of the examined systems notwithstanding the presence of deception attacks and unknown actuator faults. As well, the Lyapunov stability concept is applied in this study to acquire the stability conditions in the form of linear matrix inequalities. Following this, the two numerical simulations are illustrated to exemplify the conceptual as well as the practical importance of the proposed method.