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Adaptive Backstepping Control Using Combined Direct and Indirect \( \sigma \)–Modification Adaptation

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Recent Advances in Electrical Engineering and Control Applications (ICEECA 2016)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 411))

Abstract

In this paper, by using the dynamic surface control technique, an adaptive backstepping controller using combined direct and indirect \( \sigma \)-modification adaptation is proposed for a class of parametric strict-feedback systems. In this approach, a \( \sigma \)-modification parameter adaptation law that combines direct and indirect update laws is proposed. At first, the \( x \)-swapping identifier with a gradient-type update law is presented for a class of parametric strict-feedback nonlinear systems. Next, the main steps of the controller design for a class of nonlinear systems in parametric strict-feedback form are described. The closed-loop error dynamics is shown to be globally stable by using the Lyapunov stability approach. Finally, simulation results for a single-link flexible-joint robot manipulator are given to illustrate the tracking performance of the proposed adaptive control scheme.

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Soukkou, Y., Labiod, S. (2017). Adaptive Backstepping Control Using Combined Direct and Indirect \( \sigma \)–Modification Adaptation. In: Chadli, M., Bououden, S., Zelinka, I. (eds) Recent Advances in Electrical Engineering and Control Applications. ICEECA 2016. Lecture Notes in Electrical Engineering, vol 411. Springer, Cham. https://doi.org/10.1007/978-3-319-48929-2_2

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  • DOI: https://doi.org/10.1007/978-3-319-48929-2_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48928-5

  • Online ISBN: 978-3-319-48929-2

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