Dynamic event-triggered fault estimation and sliding mode fault-tolerant control for networked control systems with sensor faults

Jiaqi Wang, Fang Fang, Xiaojian Yi and Yajuan Liu

Applied Mathematics and Computation, 2021, vol. 389, issue C

Abstract: This paper investigates the problem of fault estimation and sliding mode fault-tolerant control(FTC) for networked control systems with sensor faults under dynamic event-triggered scheme. First, the sensor faults are equivalent to virtual internal system faults in system by filtering, and dynamic event-triggered fault/state observer is designed to estimate the system state and fault at the same time. Therefore, a sliding mode surface under event-triggering is constructed considering system faults and network delay. By the Lyapunov-Krasovskii function, a novel design condition in the form of linear matrix inequality is obtained with H∞ performance to gain observer and controller parameters. In addition, a sliding mode FTC law is constructed to guarantee that the trajectories of system states can be arrived to the sliding surface in a finite time. Finally, two examples with simulation are given to verify the effectiveness of the theoretical method.

Keywords: Fault estimation; Sliding mode control; Sensor faults; Dynamic event-triggered control (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0096300320305142
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:389:y:2021:i:c:s0096300320305142

DOI: 10.1016/j.amc.2020.125558

Access Statistics for this article

Applied Mathematics and Computation is currently edited by Theodore Simos

More articles in Applied Mathematics and Computation from Elsevier
Bibliographic data for series maintained by Catherine Liu ().