Paper Info
Title
Adaptive Event-Triggered SMC for Stochastic Switching Systems With Semi-Markov Process and Application to Boost Converter Circuit Model
Abstract
In this article, the sliding mode control (SMC) design is studied for a class of stochastic switching systems subject to semi-Markov process via an adaptive event-triggered mechanism. Network-induced communication constraints, semi-Markov switching parameters, and uncertain parameters are considered in a unified framework for the SMC design. Due to the constraint of measuring transducers, the system states always appear with unmeasurable characteristic. Compared with the traditional event-triggered mechanism, the adaptive event-triggered mechanism can effectively reduce the number of triggering than the static event-triggered mechanism. During the data transmission of network communication systems, network-induced delays are characterized from the event trigger to the zero-order holder. The aim of this work is to design an appropriate SMC law based on an adaptive event-triggered communication scheme such that the resulting closed-loop system could realize stochastic stability and reduce communication burden. By introducing the stochastic semi-Markov Lyapunov functional, sojourn-time-dependent sufficient conditions are established for stochastic stability. Then, a suitable SMC law is designed such that the system state can be driven onto the specified sliding surface in a finite-time region. Finally, the simulation study on boost converter circuit model (BCCM) illustrates the effectiveness of the theoretical findings.
Year
DOI
Venue
2021
10.1109/TCSI.2020.3036847
IEEE Transactions on Circuits and Systems I: Regular Papers
Keywords
DocType
Volume
Boost converter circuit,event-triggered communication,semi-Markov switching systems,sliding mode control
Journal
68
Issue
ISSN
Citations 
2
1549-8328
19
PageRank 
References 
Authors
0.54
0
3
Name
Order
Citations
PageRank
Wenhai Qi113510.51
Guangdeng Zong276753.03
W. X. Zheng3834.12