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Practical stabilizability of uncertain dynamical systems: Application to robotic tracking

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Abstract

The tracking problem for a robotic manipulator withn controlled degrees of freedom and uncertain dynamics is considered. Based on the deterministic theory of Refs. 1–15 and requiring only knowledge of bounds on the system uncertainty, a classC of continuous feedback controls (adapted from Ref. 11) is proposed with respect to which the uncertain tracking system is practically stabilizable in the sense that, given a feasible path to be tracked and an arbitrarily small neighborhood σ of the origin in the appropriate error space, there exists a control inC such that the tracking error for the feedback controlled uncertain system is ultimately bounded with respect to σ. The theory is illustrated in a numerical example of a robot with two degrees of freedom.

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This paper is based on research supported by the National Science Foundation and the Air Force Office of Scientific Research under Grant ECS-8210324 and by the UK Science and Engineering Research Council under Grants GR/B/32047 and GR/C/43658. This research was carried out, in part, while G. Leitmann was the recipient of a US Senior Scientist Award of the Alexander von Humboldt Foundation.

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Ryan, E.P., Leitmann, G. & Corless, M. Practical stabilizability of uncertain dynamical systems: Application to robotic tracking. J Optim Theory Appl 47, 235–252 (1985). https://doi.org/10.1007/BF00940771

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