Proceedings. 1991 IEEE International Conference on Robotics and Automation
DOI: 10.1109/robot.1991.131543
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Comparative experiments with a new adaptive controller for robot arms

Abstract: This paper presents a new model-based adaptive controller and proof of its global asymptotic stability with respect to the standard rigid-body model of robot-arm dynamics. Experimental data from a study of one new and several established globally asymptotically stable adaptive controllers on two very different robot arms 1) demonstrate the superior tracking performance afforded by the model-based algorithms over conventional PD control, 2) demonstrate and compare the superior performance of adaptive model-base… Show more

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Cited by 81 publications
(111 citation statements)
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“…The stability proof of the control law proposed in Theorem 3 bases on the work in Whitcomb et al (1993).…”
Section: Control Lawmentioning
confidence: 99%
“…The stability proof of the control law proposed in Theorem 3 bases on the work in Whitcomb et al (1993).…”
Section: Control Lawmentioning
confidence: 99%
“…12. The comparisons between the control strategies can be done by visualization of tracking errors, but accurate comparisons can be done by considering a criterion based on averaged square tracking errors -see (Whitcomb et al, 1991;Popescu et al, 2008): …”
Section: Feedback Error Based Neural Control Strategymentioning
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%