Fuzzy Adaptive Control for a Class of Nonlinear System with Prescribed Performance and Unknown Dead-Zone Inputs

Chunzhi Yang, Song Xu, Hui Lv and Ahmed Mostafa Khalil

Journal of Mathematics, 2020, vol. 2020, 1-8

Abstract: Based on fuzzy logic systems and prescribed performance technology, this paper investigated the stable tracking problem of a class of nonlinear systems with unknown dead-zone inputs. Firstly, the original system is transformed into an equivalent system. Then, a Nussbaum-type function is added in the predefined performance controller to estimate the unknown control direction, and the boundedness of all signals in the closed-loop system is guaranteed. In addition, tracking errors will always remain within the prescribed performance boundaries. Finally, a comparative simulation example shows the effectiveness of the method proposed in this paper.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jjmath:8849831

DOI: 10.1155/2020/8849831

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