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Event-triggered integral sliding mode control for uncertain networked linear control systems with quantization

Authors :
Xinggui Zhao
Bo Meng
Zhen Wang
Source :
Mathematical Biosciences and Engineering, Vol 20, Iss 9, Pp 16705-16724 (2023)
Publication Year :
2023
Publisher :
AIMS Press, 2023.

Abstract

In this paper, the integral sliding mode (ISM, SM) controller is designed to address the problem of implementing non-periodic sampled data for a class of networked linear systems with matched and unmatched uncertainties. Due to the redesigned gain of the nominal controller, the feedback control used by the nominal controller guarantees the asymptotic stability of the uncertain networked linear system. The discontinuous control uses intermittent control based on the reaching law to achieve the finite-time reachability of practical SM band. Based on the defined measurement error, the event-triggered (ET) condition can be derived, and furthermore, it guarantees a sufficient condition for the existence of the actual SM. On this basis, a quantization scheme is added to further decrease the network transmission burden of the linear system. No Zeno behavior occurs in the system owing to the existence of a positive lower bound of inter-event time. Compared with the conventional integral sliding mode control (ISMC, SMC), the proposed control law can not only relieve the network burden, but also decrease the transmission energy loss. Finally, simulation results of a numerical example and a mass-spring damping system demonstrate the effectiveness of the proposed method.

Details

Language :
English
ISSN :
15510018
Volume :
20
Issue :
9
Database :
Directory of Open Access Journals
Journal :
Mathematical Biosciences and Engineering
Publication Type :
Academic Journal
Accession number :
edsdoj.fc83a9c7c3e54d2a8d79ce9fbf0fe628
Document Type :
article
Full Text :
https://doi.org/10.3934/mbe.2023744?viewType=HTML