Asynchronous H∞ filtering for semi-Markov jump T-S fuzzy systems within partial state delay and deception attack: Applied to aircraft-pilot state estimation

This article addresses an asynchronous filter design problem within partial state delay and deception attack for a class of discrete-time semi-Markov jump Takagi-Sugeno (T-S) systems which can describe estimation process for human pilot cognitive property. First, the emission probability, which relates to system mode and filtering mode, is introduced to consider the system process with asynchronously observation scheme. Second, state delay-independent condition and state delay-dependent condition designed within state delay boundary are proposed under the H∞ performance index γ. Third, the system output signal under deception attack is adopted as the information interference during the transmitted filter process. Through the Lyapunov-Krasovskii approach, stability of the proposed filtering scheme that is mode dependent can be guaranteed. Moreover, the filtering mode is also dynamically changed according to the prescribed asynchronous formula. A numerical example considered for aircraft-pilot state estimation is used to demonstrate the effectiveness and applicability of our proposed filtering method by obtaining the minimum γ. Experiments show that filter could play a better role in advancing signal estimation in aircraft-pilot state estimation scenario with properties like state delay and deception attack. Also, it contributes to modelling the fully human pilot cognitive decision-making in a human-computer interaction scenario.