Finite-time sliding mode control for networked singular Markovian jump systems with packet losses: A delay-fractioning scheme
The paper is concerned with the finite-time sliding mode control (SMC) problem for a class of discrete networked singular Markovian jump systems (SMJSs) subject to packet losses (PLs) via the delay-fractioning approach. A random variable obeying the Bernoulli distribution is used to depict the pheno...
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Published in | Neurocomputing (Amsterdam) Vol. 385; pp. 48 - 62 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
14.04.2020
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Subjects | |
Online Access | Get full text |
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Summary: | The paper is concerned with the finite-time sliding mode control (SMC) problem for a class of discrete networked singular Markovian jump systems (SMJSs) subject to packet losses (PLs) via the delay-fractioning approach. A random variable obeying the Bernoulli distribution is used to depict the phenomenon of PLs, which is frequently encountered in the practical engineering especially during the networked transmission. A key issue to be discussed is how to guarantee both the singular stochastic finite-time boundedness (SSFTB) of the resultant sliding mode dynamic systems and the reachability of the pre-selected sliding surface. Accordingly, a sufficient condition is obtained to ensure the SSFTB of sliding motion based on delay-fractioning method and linear matrix inequality technique. Furthermore, a new SMC mechanism is proposed to compensate the influence induced by LPs and ensure the reachability condition of pre-selected sliding surface simultaneously. Finally, the effectiveness of the proposed SMC approach is tested by a simulation example. |
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ISSN: | 0925-2312 1872-8286 |
DOI: | 10.1016/j.neucom.2019.12.064 |