A multiple hierarchical structure strategy to quantized control of Markovian switching systems
Bo Wang,
Jun Cheng and
Xia Zhou
Applied Mathematics and Computation, 2020, vol. 373, issue C
Abstract:
This paper deals with the issue of nonstationary quantized control of Markovian switching systems. A more general networked Markovian switching system is exploited, where the randomly occurring PDs and a mode-dependent logarithmic quantizer are involved. Different from existing works, a novel nonstationary quantizer is introduced by utilizing a multiple hierarchical structure strategy. On the basis of mode-dependent Lyapunov functional, a sufficient condition is formulated and quantized controller gain is designed. In the end, the effectiveness of the theoretical results are proved by an automotive electronic throttle model.
Keywords: Multiple hierarchical structure; Markovian switching system; Quantized control; Packet loss (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0096300320300060
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:373:y:2020:i:c:s0096300320300060
DOI: 10.1016/j.amc.2020.125037
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 ().