Adaptive command filtered fixed-time control of nonlinear systems with input quantization

Bo Xu, Yanjun Liang, Yuan-Xin Li and Zhongsheng Hou

Applied Mathematics and Computation, 2022, vol. 427, issue C

Abstract: In this paper, the fixed-time adaptive tracking control issues of the nonlinear systems with input quantization are considered. By designing a common adaptive parameter, the over-parameterization problem of the most existing results is resolved. Based on command filter and backstepping technique, the fixed-time adaptive tracking control can be first realized. In addition, we adopt the Nussbaum-type function to deal with the quantized input. The fuzzy logic systems are utilized to approximate the unknown nonlinearlities. Moreover, it can be concluded that the proposed method can guarantee the stability of the controlled system and the boundedness of the whole signals. At last, simulation examples are employed to verify the availability of the presented scheme.

Keywords: Fixed-time control; Command filter; Input quantization; Fuzzy logical system; Backstepping technique (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0096300322002600
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:427:y:2022:i:c:s0096300322002600

DOI: 10.1016/j.amc.2022.127186

Access Statistics for this article

Applied Mathematics and Computation is currently edited by Theodore Simos

More articles in Applied Mathematics and Computation from Elsevier
Bibliographic data for series maintained by Catherine Liu ().