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Cited by 125 publications
(51 citation statements)
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“…Hence, compound SM control methods are effective measures for such requirements. In recent years, in order to improve the control effect of uncertain systems, many scholars have studied various composite SM control strategies, such as fractional order SM control, 4,5 adaptive SM control, 69 passivity-based SM control, 10 mode-free SM control, 11,12 fuzzy SM control, 13,14 event-triggered SM control, 1517 backstepping SM control, 18 and hierarchical SM control. Since the hierarchical SM control strategy not only eliminates the chattering issue but also increases the control precision of the system.…”
Section: Introductionmentioning
confidence: 99%
“…Hence, compound SM control methods are effective measures for such requirements. In recent years, in order to improve the control effect of uncertain systems, many scholars have studied various composite SM control strategies, such as fractional order SM control, 4,5 adaptive SM control, 69 passivity-based SM control, 10 mode-free SM control, 11,12 fuzzy SM control, 13,14 event-triggered SM control, 1517 backstepping SM control, 18 and hierarchical SM control. Since the hierarchical SM control strategy not only eliminates the chattering issue but also increases the control precision of the system.…”
Section: Introductionmentioning
confidence: 99%
“…On the other hand, switched systems (SSs) also comprises a set of subsystems, however, with its state being controlled by a deterministic switching signal. So far, great efforts have been devoted to researches on both the MJSs and SSs, concerning stability and stabilization analysis (see Benjelloun and Boukas, 1998; Costa and Fragoso, 1993b; Lin and Antsaklis, 2009), robust control design (see Costa and Fragoso, 1993a; Jutinico et al, 2017; Lam et al, 2007; Shi et al, 2019; Vu et al, 2007; Wu et al, 2012), observer or filter design (see Abolmasoumi and Momeni, 2011; Jiang et al, 2020; Li et al, 2014, 2016; Sakthivel et al, 2017; Shi et al, 2015; Wu et al, 2019), and so on. Recently, with the increasing complexity of practical applications, the study of MJS is not enough, as some practical systems cannot be modeled well only by MJSs (Zhong et al, 2013).…”
Section: Introductionmentioning
confidence: 99%
“…[17][18][19][20][21] The communication protocol problems have been considered using the SMC method in References 13,15, where a sliding mode controller has been constructed in Reference 15 to achieve a prescribed H ∞ performance level subject to the SCP scheduling. More recently, the SMC has been extended to the Markovian jump systems (MJSs) to deal with the network induced phenomena, [22][23][24][25][26][27] because MJSs can effectively characterize abrupt variations in system structures and model some complicated NCSs. 28 This inspires us to be concerned with an interesting topic, that is, how to utilize the SMC method, especially based on the dynamic output feedback (DOF), to deal with the MJSs under SCP.…”
Section: Introductionmentioning
confidence: 99%