2003•Unpublished venueRequires access

Instability analysis and robust adaptive control of robotic manipulators

J.S. Reed, Pétros Ioannou

Open publisher page 39 citations

Abstract

The robustness of adaptive controllers with respect to uncertainty is examined. The uncertainties include bounded input disturbances, unknown and time-varying plant parameters, and unmodeled dynamics. A simple example shows instability of a recent manipulator control scheme in the presence of bounded disturbances. The adaptive laws for updating the controller parameters are modified so that the instabilities are counteracted and robustness is guaranteed.>

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What this paper is about

The robustness of adaptive controllers with respect to uncertainty is examined. The uncertainties include bounded input disturbances, unknown and time-varying plant parameters, and unmodeled dynamics. A simple example shows instability of a recent manipulator control scheme in the presence of bounded disturbances. The adaptive laws for updating the controller parameters are modified so that the instabilities are counteracted and robustness is guaranteed.>

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OpenAlex reports 39 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The robustness of adaptive controllers with respect to uncertainty is examined. The uncertainties include bounded input disturbances, unknown and time-varying plant parameters, and unmodeled dynamics. A simple example shows instability of a recent manipulator control scheme in the presence of bounded disturbances. The adaptive laws for updating the controller parameters are modified so that the instabilities are counteracted and robustness is guaranteed.>

Key concepts: Robustness (evolution), Bounded function, Control theory (sociology), Robot manipulator, Adaptive control, Robust control, Computer science, Robot

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