Attack-Tolerant Switched Fault Detection Filter for Networked Stochastic Systems Under Resilient Event-Triggered Scheme

2020 ◽  
pp. 1-13
Author(s):  
Xiaoli Chen ◽  
Songlin Hu ◽  
Dong Yue ◽  
Xiangpeng Xie ◽  
Chunxia Dou
Keyword(s):  
Fault Detection ◽  
Stochastic Systems ◽  
Fault Detection Filter ◽  
Detection Filter ◽  
Event Triggered

Event-triggered fault detection filter design for uncertain stochastic systems with package dropouts

2019 ◽  
Vol 233 (10) ◽  
pp. 1351-1360 ◽  
Author(s):  
Zhaoke Ning ◽  
Jinyong Yu ◽  
Tong Wang
Keyword(s):  
Fault Detection ◽  
Stochastic Systems ◽  
Filter Design ◽  
Network Resources ◽  
Design Algorithm ◽  
Fault Detection Filter ◽  
Filter Structure ◽  
Exponentially Stable ◽  
Detection Filter ◽  
Event Triggered

In this article, the event-triggered fault detection filter design problem is concerned with uncertain stochastic systems subject to package dropouts. First, a filter structure is constructed to achieve the desired fault detection objective. Second, an integrated model with an event-triggered scheme and a Bernoulli stochastic process are employed to save the limited network resources and describe the package dropouts phenomenon, which always appears in the real network environment. A new sufficient condition is provided to ensure that the obtained residual system is mean square robustly exponentially stable and satisfies the desired detection performance. Then, a novel co-design algorithm is derived to obtain the parameters of filter and event-triggered scheme. Finally, two simulation examples are provided to verify the effectiveness of the proposed design scheme.

Dynamic event-triggered fault detection filter design for dynamical systems under fading channels

2021 ◽  
pp. 014233122110661
Author(s):  
Siyang Zhao ◽  
Jinyong Yu
Keyword(s):  
Fault Detection ◽  
Fading Channels ◽  
Filter Design ◽  
Sufficient Conditions ◽  
Design Criterion ◽  
Fault Detection Filter ◽  
Network Bandwidth ◽  
Dynamic Event ◽  
Detection Filter ◽  
Event Triggered

This article investigates the dynamic event-triggered fault detection filter (FDF) design problem for linear continuous-time networked systems, considering the fading channels phenomenon and randomly occurring faults. A dynamic event-triggered mechanism (ETM) is introduced to reduce the network bandwidth occupation more efficiently by utilizing an internal variable which can enlarge the event-triggered intervals. Besides, the Zeno phenomenon is eliminated fundamentally by ensuring that the event-triggered intervals are positive lower bounded. After that, sufficient conditions are derived to guarantee the stochastic stability of the residual system with a desired [Formula: see text] performance and the co-design criterion of the FDF and the dynamic ETM is developed. Finally, an unmanned surface vehicle (USV) system is used to illustrate the applicability of the presented approach.

Robust Fault Detection for Singular Stochastic Systems

2011 ◽  
Vol 128-129 ◽  
pp. 276-279 ◽  
Author(s):  
Ai Qing Zhang
Keyword(s):  
Fault Detection ◽  
Stochastic Systems ◽  
Detection System ◽  
Linear Matrix ◽  
Fault Detection Filter ◽  
Robust Fault Detection ◽  
Lyapunov Function Method ◽  
Singular Stochastic Systems ◽  
Residual Generator ◽  
Detection Filter

-This paper deals with the problem of fault detection filter (FDF) design for singular stochastic systems . By using an observer-based FDF as a residual generator,the robust fault detection is formulated as a filtering problem. Based on linear matrix inequalities (LMIS) techniques and stability theory of stochastic differential equations, stochastic Lyapunov function method is adopted to design a FDF such that, the filter residual system is sensitive to the fault but robust to the exogenous disturbance.Sufficient conditions are proposed to guarantee the stochastically mean-square stablility with an performance for the faulty detection system. The existence of a FDF for the system under consideration is achieved in terms of LMIS . Moreover, the expressions of desired fault detection filter are given.

scholarly journals Fault Detection Filter Design for Stochastic Systems with Mixed Time-Delays and Parameter Uncertainties

2013 ◽  
Vol 2013 ◽  
pp. 1-11
Author(s):  
Liyuan Hou ◽  
Shouming Zhong ◽  
Hong Zhu ◽  
Yong Zeng ◽  
Lin Shi
Keyword(s):  
Fault Detection ◽  
Time Delays ◽  
Stochastic Systems ◽  
Filter Design ◽  
Main Idea ◽  
Linear Matrix ◽  
Parameter Uncertainties ◽  
Fault Detection Filter ◽  
Mixed Time Delays ◽  
Detection Filter

This paper purposes the design of a fault detection filter for stochastic systems with mixed time-delays and parameter uncertainties. The main idea is to construct some new Lyapunov functional for the fault detection dynamics. A new robustly asymptotically stable criterion for the systems is derived through linear matrix inequality (LMI) by introducing a comprehensive different Lyapunov-Krasovskii functional. Then, the fault detection filter is designed in terms of linear matrix inequalities (LMIs) which can be easily checked in practice. At the same time, the error between the residual signal and the fault signal is made as small as possible. Finally, an example is given to illustrate the effectiveness and advantages of the proposed results.

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