This article focuses on the outlier‐resistant observer‐based controller for the interval type‐2 T‐S fuzzy discrete‐time systems with distributed delays under deception attacks. The deception attack takes place between sensor channel and observer channel. A neoteric guidance for safety performance is constructed to explain the randomly happening spoofing offensive on the control structure. The random events of parameter uncertainty and spoofing offensives are controlled via two sets of Bernoulli stochastic variables with foregone probability distributions. One outlier‐resistant observer‐based security control is constructed to induce an innovation saturation structure in order to alleviate the passive influence on the spoofing offensives about the estimation aspect. The goal of the solution is to design an outlier‐resistant observer‐based security control that can insure boundedness in estimation error while achieving the ideal level of safety. Ultimately, a quantitative value simulation sample is put forward to justify the practicality and validity of the above‐mentioned control project.
This paper is concerned with the outlier-resistant observer-based control problem for a class of interval type-2 (IT2) Takagi–Sugeno (T-S) fuzzy systems under adaptive event-triggered protocol (AETP). To improve the efficiency of resource utilization, AETP is mainly through an adjustable threshold parameter to dynamically schedule the data transmission, which occurs in the sensor-to-controller channel. In order to resist the abnormal measurement values, an output saturation composition is constructed in the observer. With the aid of Lyapunov theory, sufficient conditions are obtained to ensure the desired performance. Furthermore, the desired controller is designed for a class of IT2 T-S fuzzy systems. The combination of orthogonal decomposition and linear matrix inequalities is implemented to deal with the nonlinear coupling terms in the gain solving process. Finally, a numerical example is employed to justify the practicality and effectiveness of the proposed control scheme.
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