Adaptive control for uncertain nonlinear systems with state-function constraints and input delay
Lihong Gao,
Zhibao Song,
Zhen Wang and
Ping Li
Applied Mathematics and Computation, 2023, vol. 457, issue C
Abstract:
The adaptive control problem is studied for nonlinear systems with asymmetric full state-function constraints, unknown control gains, input delay and external disturbances in this paper. Firstly, the effect of input time delay is removed by using Laplace transform and Pade approximation. Then, Nussbaum function and fuzzy logic system (FLS) are recommended to dispose unknown control gains and unknown nonlinear functions, respectively. By incorporating barrier Lyapunov function (BLF) into the backstepping idea, a new adaptive fuzzy controller is presented such that the tracking error finally fluctuates near the origin and all signals of the closed-loop system are bounded. Meanwhile, the asymmetric full state-function constraints do not violate. Ultimately, a numerical example is used to explain the feasibility of the devised control scheme.
Keywords: Fuzzy logic system; Adaptive control; Input delay; Unknown control gains; Asymmetric state-function constraints (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0096300323003697
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:457:y:2023:i:c:s0096300323003697
DOI: 10.1016/j.amc.2023.128200
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 ().