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

Title: Prescribed-performance tracking for high-power nonlinear dynamics with time-varying unknown control coefficients
Creator: Lv, Maolong; Chen, Zhiyong; De Schutter, Bart; Baldi, Simone
Relation: Automatica Vol. 146, Issue December 2022, no. 110584
Publisher Link: http://dx.doi.org/10.1016/j.automatica.2022.110584
Publisher: Elsevier
Resource Type: journal article
Date: 2022
Description: 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.
Subject: Nussbaum function; high-power nonlinear dynamcis; adaptive control; switching conditional inequality; prescribed-performance control (PPC)
Identifier: http://hdl.handle.net/1959.13/1490114
Identifier: uon:52846
Identifier: ISSN:0005-1098
Language: eng
Reviewed

		Thumbnail	File	Description	Size	Format