JOURNAL ARTICLE

Fault detection for networked systems with uncertain time-delay and packet dropout using delta operator

Abstract

This paper addresses the problem of observer-based fault detection for networked control systems (NCSs) with uncertain time-delays and data packet dropouts. The uncertain time-varying delays and packet dropouts of NCSs are modeled as parameter uncertainties of the NCSs and a stochastic variable satisfying Bernoulli distribution, respectively. Combining with the delta operator theory, a new discrete model is constructed to depict the behavior of the NCSs. Then, based on the established model, an observer-based H fault detection filter is proposed to guarantee the stability of the delta operator system and the sufficient conditions of the H performance for the filtering error system are derived with linear matrix inequalities (LMIs) and Lyapunov-Krasovskii functional technique. The parameters of the filter are solved via LMI toolbox. A simulation example is provided to illustrate the effectiveness of the proposed method.

Keywords:
Delta operator Bernoulli distribution Control theory (sociology) Network packet Observer (physics) Dropout (neural networks) Computer science Filter (signal processing) Filtering problem Bernoulli's principle Random variable Mathematics Filter design Control (management) Engineering Artificial intelligence Computer network Statistics

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2
Cited By
0.24
FWCI (Field Weighted Citation Impact)
16
Refs
0.63
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Citation History

Topics

Stability and Control of Uncertain Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Fault Detection and Control Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Adaptive Control of Nonlinear Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
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