1986
DOI: 10.1109/taes.1986.310769
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Elastic Robot Control: Nonlinear Inversion and Linear Stabilization

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Cited by 35 publications
(14 citation statements)
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“…We choose the stabilization signal of the form: u f = -\E^q (19) where A > 0. For proving stability of the system (14) and (19) with E 2 \ -0, we use the Lyapunov stability theory. We choose a positive definite function:…”
Section: Decoupled Stabilization Using a Velocity Feedbackmentioning
confidence: 99%
See 2 more Smart Citations
“…We choose the stabilization signal of the form: u f = -\E^q (19) where A > 0. For proving stability of the system (14) and (19) with E 2 \ -0, we use the Lyapunov stability theory. We choose a positive definite function:…”
Section: Decoupled Stabilization Using a Velocity Feedbackmentioning
confidence: 99%
“…W(x f ) = q T M 22 (z*)q (20) Then the derivative of W along the solution of the system (14) and (19) is given by:…”
Section: Decoupled Stabilization Using a Velocity Feedbackmentioning
confidence: 99%
See 1 more Smart Citation
“…16 " 18 When high accuracy in task execution is a strict requisite, exact trajectory tracking can be accomplished only by resorting to the inversion of the input/output map of the given system, 19 where nonlinear state feedback is used to compensate for coupled nonlinear terms. Controllers of this kind were developed for the cases of a one-link flexible arm, 20 of a multilink rigid robot with a single flexible boom, 21 ' 22 and of a planar manipulator with two flexible links. 23 The same strategy was also applied to spacecraft or satellites with 24 or without 25 flexible appendages.…”
Section: The Design Of Inversion-based Nonlinear Control Laws Solvingmentioning
confidence: 99%
“…From Eq. (22) it is clear that the desired trajectory must be at least twice differentiable for having exact reproduction.…”
Section: So-mentioning
confidence: 99%