2021
DOI: 10.1109/tcst.2021.3051716
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A Testable Robust Stability Framework for the Variable Impedance Control of 1-DOF Exoskeleton With Variable Stiffness Actuator

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Cited by 19 publications
(9 citation statements)
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“…Jabbari et al [29] used a neural network to compensate for the unknown nonlinear dynamics of a knee exoskeleton. Oktaviani et al [35] designed a fuzzy active disturbance rejection controller for a hip and knee exoskeleton, and Liu et al [54] proposed an impedance controller with variable gains for a knee exoskeleton. The tracking performance is provided in Table 1.…”
Section: Discussionmentioning
confidence: 99%
“…Jabbari et al [29] used a neural network to compensate for the unknown nonlinear dynamics of a knee exoskeleton. Oktaviani et al [35] designed a fuzzy active disturbance rejection controller for a hip and knee exoskeleton, and Liu et al [54] proposed an impedance controller with variable gains for a knee exoskeleton. The tracking performance is provided in Table 1.…”
Section: Discussionmentioning
confidence: 99%
“…Liu et al, in [ 77 ], tested the stability robustness test of a variable stiffness actuator (VSA) programmed with the Gain Scheduling-based Variable Impedance Control (GSVIC). The proposed control system follows the paradigm of the variable impedance task in accordance with human intention.…”
Section: Analytical Reviewmentioning
confidence: 99%
“…To address the limitation of SEA, variable stiffness actuator (VSA) was proposed and developed rapidly [20][21][22][23][24][25][26][27][28][29][30][31][32][33]. However, most VSAs are equipped with two actuators (usually motors) to actively adjust the stiffness and equilibrium position independently, which leads to bulky and complex structures and causes additional power consumption.…”
Section: Introductionmentioning
confidence: 99%