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Event‐triggered positive L1 filter design for positive Markovian jump systems with quantization.

Authors :
Zhang, Di
Du, Baozhu
Jing, Yuanwei
Source :
International Journal of Robust & Nonlinear Control. 11/25/2022, Vol. 32 Issue 17, p9239-9257. 19p.
Publication Year :
2022

Abstract

This paper is concerned with the design of positive L1$$ {L}_1 $$ filter for positive Markovian jump systems (PMJSs) with adaptive event‐triggered mechanism and quantization. Considering the mode jump of the system, a new adaptive event‐triggered condition is established, which not only can regulate the communication threshold according to the error of dynamic systems, but also can avoid the asynchronous phenomenon between the system mode and the filter mode. In order to further reduce the burden of communication, a new positive L1$$ {L}_1 $$ filter with the quantized measure system output is developed, and the design condition which ensures the filter error system to be stochastically stable with L1$$ {L}_1 $$ performance is presented which can be solved in terms of linear programming (LP) technique. It is illustrated that there is no Zeno phenomenon. The proposed results are applied to the power allocation in a mobile telecommunication system, and it is shown that compared with the existing results, the event‐triggered filter of this paper has some advantages. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10498923
Volume :
32
Issue :
17
Database :
Academic Search Index
Journal :
International Journal of Robust & Nonlinear Control
Publication Type :
Academic Journal
Accession number :
159611714
Full Text :
https://doi.org/10.1002/rnc.6335