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Global practical tracking for nonlinear systems with unknown input powers using dual high‐gain‐based adaptive feedback
Author(s) -
Man Yongchao,
Liu Yungang
Publication year - 2020
Publication title -
international journal of robust and nonlinear control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.361
H-Index - 106
eISSN - 1099-1239
pISSN - 1049-8923
DOI - 10.1002/rnc.5163
Subject(s) - control theory (sociology) , bounded function , compensation (psychology) , nonlinear system , dual (grammatical number) , computer science , controller (irrigation) , adaptive control , scheme (mathematics) , tracking error , tracking (education) , control (management) , mathematics , artificial intelligence , psychology , mathematical analysis , art , pedagogy , physics , literature , quantum mechanics , psychoanalysis , agronomy , biology
Summary This article is devoted to the global practical tracking for a class of uncertain nonlinear systems. Notably, the input powers of the system are unknown and not required to be upper bounded by known constants. This means the presence of new type of serious uncertainties, which makes the problem under investigation largely challenging and urges us to develop a new powerful adaptive control scheme, particularly the compensation strategy to overcome the negative influence caused by the uncertainties. For this, a dual high‐gain‐based adaptive control design scheme is proposed, in which a dynamic high gain and a high gain function are jointly introduced to compensate the serious system uncertainties. Under the designed controller, all the signals of the resulting closed‐loop system are bounded and furthermore the tracking error remains any prescribed small after a finite time.