Event-Triggered Fault Detection Filter Design for Nonlinear Networked Systems

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.

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H∞ fault detection filter design for networked nonlinear systems under event-triggered mechanism

2017 36th Chinese Control Conference (CCC) ◽

10.23919/chicc.2017.8028617 ◽

2017 ◽

Author(s):

Yuwei Zhao ◽

Huaicheng Yan ◽

Xisheng Zhan ◽

Congzhi Huang

Keyword(s):

Nonlinear Systems ◽

Fault Detection ◽

Filter Design ◽

Fault Detection Filter ◽

Detection Filter ◽

Event Triggered

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Integral-Based Event-Triggered Fault Detection Filter Design for Unmanned Surface Vehicles

IEEE Transactions on Industrial Informatics ◽

10.1109/tii.2019.2900230 ◽

2019 ◽

Vol 15 (10) ◽

pp. 5626-5636 ◽

Cited By ~ 10

Author(s):

Xudong Wang ◽

Zhongyang Fei ◽

Huijun Gao ◽

Jinyong Yu

Keyword(s):

Fault Detection ◽

Filter Design ◽

Unmanned Surface Vehicles ◽

Fault Detection Filter ◽

Detection Filter ◽

Event Triggered

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

Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering ◽

10.1177/0959651819836863 ◽

2019 ◽

Vol 233 (10) ◽

pp. 1351-1360 ◽

Cited By ~ 1

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.

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Polynomial fault detection filter design under adaptive event-triggered scheme via line-integral Lyapunov functions

Transactions of the Institute of Measurement and Control ◽

10.1177/01423312211059742 ◽

2021 ◽

pp. 014233122110597

Author(s):

Jingyu Ding ◽

Yu Liu ◽

Xuebo Yang

Keyword(s):

Fault Detection ◽

Filter Design ◽

Detection System ◽

Design Constraints ◽

Line Integral ◽

Fault Detection Filter ◽

Network Bandwidth ◽

Network Transmission ◽

Detection Filter ◽

Event Triggered

This paper investigates the problem of polynomial fault detection filter design under an adaptive event-triggered scheme for continuous-time networked polynomial fuzzy model–based (PFMB) systems considering network transmission delays. The proposed adaptive polynomial event-triggered scheme is checked only at the sampling instant to eliminate the Zeno behavior as well as save the network bandwidth. With the consideration of the mismatched membership functions (MFs), the asynchronous problem between the physical plant and the polynomial fault detection filter (PFDF) is examined. A Lyapunov–Krasovskii (L-K) function is introduced to deal with the time delays caused by the network transmission and the zero-order holder (ZOH), and a proper line-integral Lyapunov function is also introduced to reduce the conservation of the design constraints, whose analytical procedure is rule-dependent. The design constraints are given in the form of sum of squares (SOS) to keep the PFMB fault detection system asymptotically stable with [Formula: see text] performance [Formula: see text]. Finally, an inverted pendulum example together with a numerical example is given to verify the effectiveness and superiority of the proposed scheme in terms of transfer rate and conservatism.

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