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Comparative Study of Three Nonlinear Discrete-Time Observer Designs for the Control of a Bipedal Robot

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Original languageEnglish
Title of host publication4th International Conference on Climbing and Walking Robots, CLAWAR2001
Pages851-858
Number of pages8
Publication statusPublished - 2001

Abstract

This paper focuses on adaptive, non-linear control for a bipedal robot. The envisaged control structure consists of discrete-time Computed Torque Controllers and Extended Kalman Filters for parameter adaptation. Since the relative degree of the considered joint system models are equal to the system order, the Computed Torque Control requires future values of the output. For this task different non-linear discrete-time observers are utilized which lead to better performance and more robustness than estimations of future outputs by the pure system model, particularly when only poor system models are known.

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Comparative Study of Three Nonlinear Discrete-Time Observer Designs for the Control of a Bipedal Robot. / Albert, A.; Lilge, T.
4th International Conference on Climbing and Walking Robots, CLAWAR2001. 2001. p. 851-858.

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Albert A, Lilge T. Comparative Study of Three Nonlinear Discrete-Time Observer Designs for the Control of a Bipedal Robot. In 4th International Conference on Climbing and Walking Robots, CLAWAR2001. 2001. p. 851-858
Albert, A. ; Lilge, T. / Comparative Study of Three Nonlinear Discrete-Time Observer Designs for the Control of a Bipedal Robot. 4th International Conference on Climbing and Walking Robots, CLAWAR2001. 2001. pp. 851-858
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AB - This paper focuses on adaptive, non-linear control for a bipedal robot. The envisaged control structure consists of discrete-time Computed Torque Controllers and Extended Kalman Filters for parameter adaptation. Since the relative degree of the considered joint system models are equal to the system order, the Computed Torque Control requires future values of the output. For this task different non-linear discrete-time observers are utilized which lead to better performance and more robustness than estimations of future outputs by the pure system model, particularly when only poor system models are known.

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