2019
DOI: 10.1016/j.automatica.2019.02.040
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Global adaptive output-feedback stabilization for a class of uncertain nonlinear systems with unknown growth rate and unknown output function

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Cited by 58 publications
(39 citation statements)
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“…Remark 4. As can be seen from the right-hand side of the inequality (16), due to the existence of an unknown output function h(x 1 ), the integrability of the derivativeV + 1 is not only related to the Nusbaum function and the unknown control direction but also related to the derivative h ′ + (x 1 ), which is different from the simple case y = x 1 considered in the existing results. [7][8][9]11,12 This makes the stability analysis schemes proposed in the above existing results no longer feasible for the considered system (1) in this paper.…”
Section: Output Feedback Controller Designmentioning
confidence: 71%
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“…Remark 4. As can be seen from the right-hand side of the inequality (16), due to the existence of an unknown output function h(x 1 ), the integrability of the derivativeV + 1 is not only related to the Nusbaum function and the unknown control direction but also related to the derivative h ′ + (x 1 ), which is different from the simple case y = x 1 considered in the existing results. [7][8][9]11,12 This makes the stability analysis schemes proposed in the above existing results no longer feasible for the considered system (1) in this paper.…”
Section: Output Feedback Controller Designmentioning
confidence: 71%
“…Hence, it is interesting to study the output feedback control for nonlinear systems with unknown output functions. In recent years, significant attention has been paid and several results have been achieved for such control problems. For instance, the global adaptive regulation problem for nonlinear feedforward systems was investigated in the work of Jia et al, the global adaptive output feedback stabilization for nonlinear systems with unknown growth rates was achieved in the work of Yan et al, and the quantized feedback control for nonlinear feedforward systems was addressed by Wang et al…”
Section: Introductionmentioning
confidence: 99%
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