2012 IEEE 51st IEEE Conference on Decision and Control (CDC) 2012
DOI: 10.1109/cdc.2012.6426837
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Adaptive sliding mode control using slack variables for affine underactuated systems

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Cited by 13 publications
(12 citation statements)
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“…Padhi et al [25] introduced a slack variable vector and a slack variable matrix to make the control-effective matrix invertible. The proposed method has been successfully implemented in the SMC design for underactuated systems [24,36,37]. After applying the slack-variable approach, Equation (10) can be transformed into the following square dynamics.…”
Section: Rotorcraft Model Descriptionmentioning
confidence: 99%
See 2 more Smart Citations
“…Padhi et al [25] introduced a slack variable vector and a slack variable matrix to make the control-effective matrix invertible. The proposed method has been successfully implemented in the SMC design for underactuated systems [24,36,37]. After applying the slack-variable approach, Equation (10) can be transformed into the following square dynamics.…”
Section: Rotorcraft Model Descriptionmentioning
confidence: 99%
“…Therefore, the slack control vector u s does not affect the closed-loop system in this structure. Even so, ν will be designed using an adaptive update law as it was proposed by Kim et al [24].…”
Section: Rotorcraft Model Descriptionmentioning
confidence: 99%
See 1 more Smart Citation
“…In Ref. 18, an adaptive sliding mode control scheme was proposed for underactuated affine nonlinear systems. In order to make the gain matrix square, slack variables were applied.…”
Section: Introductionmentioning
confidence: 99%
“…But it maybe give rise to the chattering phenomenon near the sliding surface because of the unknown bounded disturbance. Adaptive control can eliminate the model deficiency through online estimated the uncertain parameters to achieve global asymptotic stability [Mingu Kim+2012].…”
Section: Introductionmentioning
confidence: 99%