Adaptive tracking control for nonlinear system in pure-feedback form with prescribed performance and unknown hysteresis

Autor:	Yi Chang, Ben Niu, Huanqing Wang, Liang Zhang, Adil M Ahmad, Madini O Alassafi
Rok vydání:	2022
Předmět:	Control and Optimization Control and Systems Engineering Applied Mathematics
Zdroj:	IMA Journal of Mathematical Control and Information. 39:892-911
ISSN:	1471-6887 0265-0754
DOI:	10.1093/imamci/dnac015
Popis:	The finite-time tracking control issue for a class of nonlinear pure-feedback system with prescribed performance and unknown hysteresis is investigated in this work. To solve the Bouc-Wen hysteresis with unknown parameters and direction conditions, the Nussbaum function and auxiliary virtual control function are used. A finite-time performance function is applied in prescribed performance, which can make the tracking error is limited to a pre-given boundary in finite time. Moreover, the mean-value theorem is applied to solve the difficulty of pure-feedback form. Combined with backstepping technique, an adaptive tracking control scheme is designed to make sure that all the closed-loop signals are bounded and that the tracking error converges to pro-given boundary. Finally, a simulation example is presented to show the effectiveness of the proposed control scheme.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ba76c646207aefebbd68dd5c992f5ad8 https://doi.org/10.1093/imamci/dnac015 Zobrazit plný text záznamu