Nonlinear adaptive estimator-based prescribed performance control of perturbed quadcopter systems

Xingcheng Tong, Xue Xiao, Xiaozheng Jin and Hai Wang

Applied Mathematics and Computation, 2026, vol. 509, issue C

Abstract: This article explores a nonlinear adaptive estimator-based prescribed performance control method to address the position and attitude trajectory tracking challenges of perturbed quadcopter systems. Integrating adaptive techniques and filtering operations, the method develops nonlinear perturbation estimators to ensure the asymptotic estimation of perturbations. Moreover, a prescribed performance control strategy is devised using estimation information to contain position and attitude tracking errors within predefined bounds under the influence of persistent time-varying perturbations. Using Lyapunov stability theory, the finite-time bounded and asymptotic stability of tracking errors of quadcopter position and attitude subsystems are established with prescribed performance. Following that, simulations are performed to verify the efficiency of the proposed control method.

Keywords: Nonlinear adaptive estimators; Prescribed performance control; Perturbation rejection; Quadcopter systems (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0096300325003893
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:509:y:2026:i:c:s0096300325003893

DOI: 10.1016/j.amc.2025.129663

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 ().