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

Journal Article (2022)
Author(s)

Maolong LV (Air Force Engineering University China)

Zhiyong Chen (The University of Newcastle, Australia)

B. De Schutter (TU Delft - Team Bart De Schutter)

S Baldi (Southeast University)

Research Group
Team Bart De Schutter
Copyright
© 2022 Maolong Lv, Zhiyong Chen, B.H.K. De Schutter, S. Baldi
DOI related publication
https://doi.org/10.1016/j.automatica.2022.110584
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 Maolong Lv, Zhiyong Chen, B.H.K. De Schutter, S. Baldi
Research Group
Team Bart De Schutter
Volume number
146
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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.

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