2016
DOI: 10.1080/00207721.2016.1216201
|View full text |Cite
|
Sign up to set email alerts
|

Integral sliding mode control for robust stabilisation of uncertain stochastic time-delay systems driven by fractional Brownian motion

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

0
28
0

Year Published

2017
2017
2023
2023

Publication Types

Select...
9

Relationship

4
5

Authors

Journals

citations
Cited by 30 publications
(28 citation statements)
references
References 40 publications
0
28
0
Order By: Relevance
“…FBMs now have been extensively used to model the stochastic perturbations as the input noise in dynamical systems. [13][14][15][16][17][18][19] For example, the integral sliding mode control for uncertain stochastic time-delay systems driven by FBMs was considered and a Lyapunov function with exponential term was proposed in Reference 14. Then the criterion of stochastic stability proposed in Reference 14 was not related to the Hurst index of FBMs.…”
Section: Introductionmentioning
confidence: 99%
“…FBMs now have been extensively used to model the stochastic perturbations as the input noise in dynamical systems. [13][14][15][16][17][18][19] For example, the integral sliding mode control for uncertain stochastic time-delay systems driven by FBMs was considered and a Lyapunov function with exponential term was proposed in Reference 14. Then the criterion of stochastic stability proposed in Reference 14 was not related to the Hurst index of FBMs.…”
Section: Introductionmentioning
confidence: 99%
“…Stability and stabilization of MJSs (Ali et al, 2019), filtering (Li and Wang, 2012; Peng et al, 2019), and controller design for MJSs (Fei et al, 2017; Hou and Sun, 2018; Ma et al, 2018) have been well addressed in the literature. In recent years, SMC as a powerful robust method has been applied to different classes of fractional-order systems such as time-delay fractional order systems (Yousefi and Binazadeh, 2018), fractional-order chaotic systems (Roohi et al, 2019), fractional stochastic systems (Khandani et al, 2016, 2017) and so on. SMC has also been widely applied to MJSs; see Chen et al (2011), Jiang et al (2019), Kao et al (2014), Shen et al (2018), Zhang et al (2012), Zhao et al (2019) and the references therein.…”
Section: Introductionmentioning
confidence: 99%
“…MJSs have been well investigated formerly, and the results on their stabilization, filtering and controller design are available. 17 Particularly, one popular control strategy is sliding mode control (SMC) which is a powerful robust method with many applications in various systems, 811 and has been extensively employed in the literature for MJSs. 1214 For instance, in Xu et al, 15 an adaptive SMC strategy based on an integral type sliding surface has been proposed to investigate the stability of a Markovian jump model with parameter uncertainties, nonlinearities and Lévy noises.…”
Section: Introductionmentioning
confidence: 99%