2020
DOI: 10.1016/j.autcon.2020.103326
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Iterative learning from suppressing vibrations in construction machinery using magnetorheological dampers

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Cited by 13 publications
(9 citation statements)
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“…The measurements presented in the article were conducted with the aim of developing a control algorithm for the purposes of MR dampers. Details of the algorithm are presented in [7] .…”
Section: Experimental Design Materials and Methodsmentioning
confidence: 99%
“…The measurements presented in the article were conducted with the aim of developing a control algorithm for the purposes of MR dampers. Details of the algorithm are presented in [7] .…”
Section: Experimental Design Materials and Methodsmentioning
confidence: 99%
“…The real-time control of the MR damper applied for a driver seat with on-off and continuously variable control was presented in [13]. Further, the results of vibration suppression for an operator cabin in bucket wheel excavators were presented in [38], where the authors proposed an iterative learning method for optimal control.…”
Section: Control Of Semi-active Suspensionmentioning
confidence: 99%
“…MR dampers, as an example of a semi-active system, are favored over active solutions for their low energy consumption. They are widely used for vibration control in mountain bikes [24], automotive applications and all-terrain vehicles [25]; for improvement of driving safety [26]; in the construction machinery [27]; and in buildings and bridges [28].…”
Section: Introductionmentioning
confidence: 99%