Disturbance observer-based fuzzy adaptive switched tuning control of uncertain nonlinear systems with full state constraints

Ming-Rui Liu, Li-Bing Wu, Hong Sang, Liang-Dong Guo and Sheng-Juan Huang

Applied Mathematics and Computation, 2025, vol. 487, issue C

Abstract: This article examines the issue of disturbance observer-based fuzzy adaptive switched tuning output feedback control for a family of uncertain nonlinear systems subjected to full state constraints. By introducing monotonically bounded positive time-varying gain functions (TVGFs), a set of improved intermediate-variable-based disturbance observers (IVBDOs) is devised. Applying the convex combination technique and the LMI toolbox, the solution of the observation gain matrix is realized. Combining the switched tuning control function and the composite integral barrier Lyapunov method, a new switching nature controller is constructed. Particularly, the developed framework overcomes the conservatism of conventional constraints. Through theoretical analysis, it is exhibited that for any given initial value of the system, all states of the system are enclosed within predetermined compact sets while all signals are bounded. Lastly, simulation and experimental results under unknown disturbances attest the validity and superiority of the suggested strategy.

Keywords: Intermediate-variable-based disturbance observers; Convex combination technique; LMI toolbox; Switched tuning control function; Composite integral barrier Lyapunov method (search for similar items in EconPapers)
Date: 2025
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S009630032400571X
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:487:y:2025:i:c:s009630032400571x

DOI: 10.1016/j.amc.2024.129110

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 ().