Global practical tracking for a class of uncertain nonlinear systems via sampled-data control
Zhihui Wang,
Junyong Zhai,
Weiqing Ai and
Shumin Fei
Applied Mathematics and Computation, 2015, vol. 260, issue C, 257-268
Abstract:
This paper investigates the problem of global practical tracking via sampled-data output feedback for a class of uncertain nonlinear systems whose output functions are not precisely known. To solve the problem, we first construct a new sampled-data compensator and then use the backstepping and output feedback domination approach to design a linear sampled-data controller. An explicit formula for the sampling period is computed to regulate the tracking error under the proposed controller with appropriate gains. A practical example is given to illustrate the effectiveness of the proposed scheme.
Keywords: Practical tracking; Uncertain nonlinear systems; Sampled-data control; Output feedback (search for similar items in EconPapers)
Date: 2015
References: View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0096300315003884
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:260:y:2015:i:c:p:257-268
DOI: 10.1016/j.amc.2015.03.074
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 ().