Event-Triggered Fault Estimation for Networked Systems with Redundant Channels

被引：0

作者：

Zhao, Zhongyi ^{[1
]}

Wang, Zidong ^{[1
,2
]}

Zou, Lei ^{[2
]}

Wang, Yezheng ^{[1
]}

Guo, Jiyue ^{[1
]}

机构：

[1] Shandong Univ Sci & Technol, Coll Elect Engn & Automat, Qingdao 266590, Peoples R China

[2] Brunel Univ London, Dept Comp Sci, Uxbridge UB8 3PH, Middx, England

来源：

PROCEEDINGS OF THE 39TH CHINESE CONTROL CONFERENCE | 2020年

关键词：

Networked systems; event-Triggered mechanism; redundant channel; fault estimation; packet dropouts; STATE ESTIMATION; NONLINEAR-SYSTEMS; TRANSMISSION; SUBJECT;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper is concerned with the event-triggered fault estimation problem for a class of networked systems with redundant communication channels. For the purpose of reducing communication energy and avoiding communication burden, the event-triggered mechanism is employed to govern the signal transmissions between the remote estimator and sensors. In order to resist the adverse effects induced by packet dropouts, a redundant-channel-based communication mechanism is employed to enhance the signal transmission reliability of the network. The aim of this paper is to design a fault estimator based on the available measurement outputs subject to the event-triggering mechanism and the redundant-channel-based transmission mechanism such that an upper bound of the estimation error covariance is provided and then minimized by designing appropriate parameter of the estimator. The desired estimator gain matrix is calculated recursively by solving two Riccati-like difference equations. Finally, an illustrative example is provided to show the effectiveness of the fault estimation method proposed in this paper.

引用

页码：4492 / 4497

页数：6

共 21 条

[1] Event-triggered distributed state estimation for a class of time-varying systems over sensor networks with redundant channels [J].

Dong, Hongli ;

Bu, Xianye ;

Hou, Nan ;

Liu, Yurong ;

Alsaadi, Fuad E. ;

Hayat, Tasawar .

INFORMATION FUSION, 2017, 36 :243-250

[2] Unknown Input Observer-Based Robust Fault Estimation for Systems Corrupted by Partially Decoupled Disturbances [J].

Gao, Zhiwei ;

Liu, Xiaoxu ;

Chen, Michael Z. Q. .

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2016, 63 (04) :2537-2547

[3] On designing of an adaptive event-triggered communication scheme for nonlinear networked interconnected control systems [J].

Gu, Zhou ;

Yue, Dong ;

Tian, Engang .

INFORMATION SCIENCES, 2018, 422 :257-270

[4] Event-based filtering for time-varying nonlinear systems subject to multiple missing measurements with uncertain missing probabilities [J].

Hu, Jun ;

Wang, Zidong ;

Alsaadi, Fuad E. ;

Hayat, Tasawar .

INFORMATION FUSION, 2017, 38 :74-83

[5] A variance-constrained approach to recursive state estimation for time-varying complex networks with missing measurements [J].

Hu, Jun ;

Wang, Zidong ;

Liu, Steven ;

Gao, Huijun .

AUTOMATICA, 2016, 64 :155-162

[6] Event-triggered guaranteed cost control for uncertain discrete-time networked control systems with time-varying transmission delays [J].

Hu, S. ;

Yin, X. ;

Zhang, Y. ;

Tian, E. G. .

IET CONTROL THEORY AND APPLICATIONS, 2012, 6 (18) :2793-2804

[7] H∞ filtering for networked systems with partly known distribution transmission delays [J].

Hu, Songlin ;

Yue, Dong ;

Liu, Jinliang .

INFORMATION SCIENCES, 2012, 194 :270-282

[8] Stability analysis of networked control systems subject to packet-dropouts and finite-level quantization [J].

Ishido, Yumiko ;

Takaba, Kiyotsugu ;

Quevedo, Daniel E. .

SYSTEMS & CONTROL LETTERS, 2011, 60 (05) :325-332

[9] Filtering and fault detection for nonlinear systems with polynomial approximation [J].

Liu, Yang ;

Wang, Zidong ;

He, Xiao ;

Zhou, D. H. .

AUTOMATICA, 2015, 54 :348-359

[10] Finite-time resilient H∞ state estimation for discrete-time delayed neural networks under dynamic event-triggered mechanism [J].

Liu, Yufei ;

Shen, Bo ;

Shu, Huisheng .

NEURAL NETWORKS, 2020, 121 :356-365

← 1 2 3 →