Prescribed-performance tracking for high-power nonlinear dynamics with time-varying unknown control coefficients

Maolong Lv, Zhiyong Chen, Bart De Schutter, Simone Baldi*

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

42 Citations (SciVal)
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Abstract

Prescribed-performance control (PPC) for high-power dynamics with time-varying unknown control coefficients requires to address two open problems: (a) given a Nussbaum function, which properties hold for the power of the Nussbaum function? (b) to avoid high gains, how to design a switching gain that increases only when the tracking error is close to violate the performance bounds? To address the first problem, we show with a counterexample and a positive example that only some Nussbaum functions are suited to handle time-varying unknown control coefficients for high-power dynamics. To address the second problem, we propose a new switching conditional inequality.

Original languageEnglish
Article number110584
Number of pages9
JournalAutomatica
Volume146
DOIs
Publication statusPublished - 2022

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

  • Adaptive control
  • High-power nonlinear dynamics
  • Nussbaum function
  • PPC
  • Switching conditional inequality

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