Finite-time security E2P filter design of fuzzy discrete-time singular system

Abstract

Nowadays, privacy protection avoids the disclosure of signals during transmission. This article studies the privacy protection of fuzzy singular systems. Initially, the nonlinear discrete-time singular system is represented using the Takagi-Sugeno (T-S) fuzzy modeling approach. Then, through the output mask technology, the eavesdropper is confused to obtain information. Meanwhile, the load problem of the signal passing through the channel is considered, the signal quantization is considered, and the channel fading problem is considered. On this basis, the stability conditions of the system are given, and a singular filter that satisfies the finite-time Energy-to-Peak (E2P) performance is designed. Ultimately, the proposed method’s effectiveness is substantiated.