Stability and stabilization for positive systems with semi-Markov switching
Huajian Wang,
Wenhai Qi,
Lihua Zhang,
Jun Cheng and
Yonggui Kao
Applied Mathematics and Computation, 2020, vol. 379, issue C
Abstract:
In this article, the problems of mean stability analysis and control synthesis are studied for stochastic switching systems subject to positive constraint. Such a switching is governed by a semi-Markov process subject to a special non-exponential distribution. Considering a linear Lyapunov-Krasovskii function (LKF), necessary and sufficient conditions are proposed to realize mean stability for the open-loop system. Based on this, the solvability conditions for the desired stabilizing controller can be determined under a linear programming (LP) framework. Finally, the theoretical findings are illustrated by the virus mutation treatment model.
Keywords: mean stability; stochastic switching systems; Lyapunov-Krasovskii function; linear programming (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0096300320302216
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:379:y:2020:i:c:s0096300320302216
DOI: 10.1016/j.amc.2020.125252
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 ().