Event‐triggered scheme for fault detection and isolation of non‐linear system with time‐varying delay. Issue 16 (15th September 2020)

• Record Type: Journal Article
• Authors: Aslam, Muhammad Shamrooz; Ullah, Rizwan; Dai, Xisheng; Sheng, Andong
• Is Part Of: IET control theory & applications. Volume 14:Issue 16(2020)
• Page Start: 2429
• Page End: 2438
• Publication Date: 2020-09-15
• Subjects: Lyapunov methods -- fault diagnosis -- uncertain systems -- linear systems -- time‐varying systems -- asymptotic stability -- nonlinear control systems -- stability criteria -- control system synthesis -- networked control systems -- observers -- delays -- linear matrix inequalities; sensor fault -- subsystem B -- ET delay NCSs -- linear matrix inequalities -- event‐triggered scheme -- fault detection -- nonlinear system -- time‐varying delay -- delayed nonlinear systems -- event‐triggered mechanism -- nonlinear plant -- mode observers -- SMOs -- ET mechanism -- networked control systems -- sampled data -- event condition; Control theory -- Periodicals; Automatic control -- Periodicals; 629.8312
• DOI: 10.1049/iet-cta.2018.5469
• Languages: English
• ISSNs: 1751-8644

Abstract

Abstract : In this article, we investigate a new way of dealing with fault detection and isolation (FDI) for a class of delayed non‐linear systems with an event‐triggered mechanism (ETM). This article is based on 1) To estimate the dynamics of the nonlinear plant, Sliding Mode Observers (SMO's) is manipulated with Luenberger. 2) Under the ETM, sampled data is released only when the plant's measurement (sampled) violate the specific threshold of the event condition. 3) First, transform into two subsystems. In subsystem‐A contains uncertainties without sensor fault and vice‐versa in subsystem‐B. To handle the uncertainties that appeared in subsystem‐A, a new SMO's implemented while traditional Luenberger is employed to detect the sensor fault. Then, by using a new Lyapunov‐Krasovskii function approach performance index is proposed. Based on stability criteria, sufficient conditions are provided in the account of Linear Matrix Inequalities (LMIs). The simulation example is given to demonstrate the effectiveness of our design method.