An outlier‐resistant approach to observer‐based security control for interval type‐2 T‐S fuzzy systems subject to deception attacks

Abstract

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.

A control scheme for interval type‐2 T‐S fuzzy systems at constrained bit rates: A coding and decoding scheme

“…Remark 2. In this paper, we do not directly encode and decode the measured output signal 𝑦(k), but construct an auxiliary system (16), ý(k) set to predict the decoding result ȳ(k), which can solve the unrealistic problem of dynamic regression from the decoder to the encoder, where ỳ(k) ≡ ȳ(k). The decoding scheme is essentially an estimate of (16).…”

“…IT2 models are also often combined with protocols for channel transmission, for example, in the literature [15] combined IT2 T-S hybrid time lag fuzzy systems with multi-description coding and decoding and presents the stability case of the system in the presence of packet loss. The literature [16] discussed the security control problem when the IT2 T-S distributed time lag fuzzy system faced a network attack and gives an anti-network attack scheme.…”

Event-based Lateral Security Control for Network Autonomous Driving System Subject to Double-Quantized Scheme

“…By combining the system, the event trigger (13), the quantization (17), the hybrid attack (21), and the controller (23), we have the following results, namely the vehicle dynamic output-feedback system.…”

“…Since T-S is an approximate model, some smooth nonlinear functions can be approximated with certain precision under convex sets. Under normal circumstances, Type-1 T-S cannot handle highly uncertain systems, whereas Type-2 T-S can.Compared with the dynamic system dealing with uncertainty, fuzzy Type-2 has more advantages [16,17,18]. It is a good choice to control vehicle lateral Angle in this paper [19].…”