Proceedings. 1987 IEEE International Conference on Robotics and Automation
DOI: 10.1109/robot.1987.1087747
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Stability analysis of an adaptive controller for robotic manipulators

Abstract: The stability analysis of an adaptive control scheme for robotic manipulators, originally introduced by Horowitz and Tomizuka (1980). is presented in this paper. In the previous stability proof it was assumed that the manipulator parameter variation is negligible compared with the speed of adaptation. I t isshown that this key assumption can be removed by introducing two modifications in the adaptive control scheme: 1. Reparametrizing the nonlinear terms in dynamic equations as linear functions of unknown but … Show more

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Cited by 127 publications
(50 citation statements)
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“…In terms of their long-term performance using an infinite number of terms, each is identical. As proven, asymptotic perfect model following can be assured using adaptive control techniques so long as the ideal input can be expressed as a known function matrix or basis function, W(t), times a constant but unknown matrix [3][4][5][6][7][8][9][10][11], K:…”
Section: Fourier Repetitive Controlmentioning
confidence: 99%
“…In terms of their long-term performance using an infinite number of terms, each is identical. As proven, asymptotic perfect model following can be assured using adaptive control techniques so long as the ideal input can be expressed as a known function matrix or basis function, W(t), times a constant but unknown matrix [3][4][5][6][7][8][9][10][11], K:…”
Section: Fourier Repetitive Controlmentioning
confidence: 99%
“…Whereas the theory and practice of adaptive inverse dynamics reference tracking controllers for rigid body manipulators, was worked out two decades ago [66,74,80], the dynamics of coupled nonlinear oscillators underlying the complete architectural design space of interest remains an active area of mathematical research. Similarly, while there is a three hundred year old literature on Lagrangian mechanics, neural models admit no appeal to physical first principles at the comparable level of universality and methods of abstraction.…”
Section: Neuromechanical Control Architectures (Nca)mentioning
confidence: 99%
“…In the sequel U nc coincides with the fixed-parameter controller proposed in [20,21] and the closed-loop stability analysis of the system is based on Proposition 1. First, let us introduce some notations:…”
Section: Controller Designmentioning
confidence: 99%
“…Proof: (i) The uniqueness of solution of the LCP (20) guarantees that (19) and (23) agree if C 1 < 0. In other words, replacing C 1 by C 1 (t − t (ii) Obviously (26) is imposed in order to assure the twice differentiability of the desired trajectory.…”
Section: Is a Small Positive Real Number Chosen By The Designer) Ifmentioning
confidence: 99%