2000
DOI: 10.1016/s0167-6911(00)00056-6
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A new nonlinear robust disturbance observer

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Cited by 52 publications
(30 citation statements)
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“…Over the past few decades, a considerable number of studies have been devoted to the estimation and rejection of an unknown disturbance. A disturbance observer (DOB) is commonly used for disturbance rejection (Chen et al, 2000;Miyazaki et al, 2006). They often implicitly assume that an equivalent input disturbance (EID) exists on the control input channel, but the design of the low-pass filter is frequently complicated because it has to guarantee both the causality of the DOB and the stability of the whole system.…”
Section: Introductionmentioning
confidence: 99%
“…Over the past few decades, a considerable number of studies have been devoted to the estimation and rejection of an unknown disturbance. A disturbance observer (DOB) is commonly used for disturbance rejection (Chen et al, 2000;Miyazaki et al, 2006). They often implicitly assume that an equivalent input disturbance (EID) exists on the control input channel, but the design of the low-pass filter is frequently complicated because it has to guarantee both the causality of the DOB and the stability of the whole system.…”
Section: Introductionmentioning
confidence: 99%
“…It was tested on a 2-DOF robot. Different approaches based on robustly stable disturbance observers [27][28][29][30][31] have focused on avoiding the smaller stability margins of the disturbance observers during motion control [32]. A force observer is presented in [33], where it is demonstrated that for small accelerations the external force is proportional to the observation error as long as the model is accurate.…”
Section: Introductionmentioning
confidence: 99%
“…The DOB methods are concerned with disturbance estimation and have been widely used in many applications. In [26,27] linear minimum phase systems were investigated. In [28,29] a class of strict-feedback form systems with nonlinear uncertainties satisfying matching condition were treated.…”
Section: Introductionmentioning
confidence: 99%