학술논문
Security-based fault detection filtering design for fuzzy singular semi-Markovian jump systems via improved dynamic event-triggering and quantization protocols.
Document Type
Journal
Author
Kong, Linghuan (PRC-GLUT-CSC) AMS Author Profile; Luo, Mengzhuo (PRC-GLUT-CSC) AMS Author Profile; Cheng, Jun (PRC-GXN-MST) AMS Author Profile; Katib, Iyad (SAR-ABDIT-CS) AMS Author Profile; Shi, Kaibo (PRC-CHDU-SIE) AMS Author Profile; Zhong, Shouming (PRC-EST-SM) AMS Author Profile
Source
Subject
93 Systems theory; control -- 93B Controllability, observability, and system structure
93B36$H^\infty$-control
93B36
Language
English
Abstract
Summary: ``This article concerns the problem of event-protocol-based asynchronous fault detection filtering design for discrete-time fuzzy singular semi-Markovian jump systems subjected to system parameters uncertainties, unmatched one-sided Lipschitz nonlinearities and multi-cyber-attacks. First, a well-designed model structure is proposed to integrate two dynamic quantizers and an improved dynamic event-triggered protocol into a unified framework to reduce the amount of data in the network transmission and rationalize the use of limited network communication bandwidth resources. Especially, the event-triggering threshold parameter can be continuously adjusted over the time based on the fluctuation of the network signal. Second, a novel triple-cyber-attacks platform is established, of which including random deception attacks, random replay attacks and aperiodic DoS attacks. And with help of the extended decoupling strategy and iterative techniques, the co-design conditions of the stochastic admissibility with a $\check{\wp}$ fault filtering error systems. Finally, two examples are provided to demonstrate the effectiveness and feasibility of the proposed algorithm.''