2010
DOI: 10.3969/j.issn.1004-4132.2010.02.017
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Integral sliding mode control of time-delay systems with mismatching uncertainties

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Cited by 12 publications
(6 citation statements)
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“…The linear matrix inequality (LMI)-based sliding surface design for SMC has been proposed to guarantee the asymptotic stability of full order system with mismatched uncertainties. [19][20][21] The disturbance observer (DOB) is also integrated into the SMC to counteract the mismatched disturbance. [19][20][21][22][23] Yet, the transient response performances of the systems are rarely considered in these researches.…”
Section: Introductionmentioning
confidence: 99%
“…The linear matrix inequality (LMI)-based sliding surface design for SMC has been proposed to guarantee the asymptotic stability of full order system with mismatched uncertainties. [19][20][21] The disturbance observer (DOB) is also integrated into the SMC to counteract the mismatched disturbance. [19][20][21][22][23] Yet, the transient response performances of the systems are rarely considered in these researches.…”
Section: Introductionmentioning
confidence: 99%
“…4. Finally, calculate the matrix G 1 using (34). For the original system (8), the sliding surface matrix is then C = [G 1 I m ]T r .…”
Section: Methods 2: Coefficient Ratio-based Direct Sliding Surface Designmentioning
confidence: 99%
“…Since integral control allows obtaining robust tracking of reference signals, it will be utilised in the SMC design. Although there exist some ISMC approaches [30][31][32][33][34][35], a coefficient ratio-based ISMC procedure can be simpler and more effective.…”
Section: Integral Sliding Mode Control For Robust Trackingmentioning
confidence: 99%
“…This leads to many researches on the SMC design for uncertain systems with mismatched uncertainties. The linear matrix inequality (LMI) based sliding surface design for SMC has been proposed to guarantee the asymptotic stability of full-order system with mismatched uncertainties [25][26][27]. An adaptive radial basis function neural network is proposed in [28] to compensate for the effects of mismatched uncertainty in the framework of integral SMC.…”
Section: Introductionmentioning
confidence: 99%