Event-triggered adaptive asymptotic tracking control of uncertain nonlinear systems with unknown dead-zone constraints

Li-Bing Wu, Ju H. Park, Xiang-Peng Xie, Ya-Juan Liu and Zhi-Chun Yang

Applied Mathematics and Computation, 2020, vol. 386, issue C

Abstract: This paper studies the adaptive asymptotic tracking control problem of uncertain nonlinear systems with unknown control directions, dead-zone constraints and event-triggered inputs. By constructing the proper parameter updated laws with a positive continuous integrable function of augmented dimension vectors, unknown upper bound and compound disturbance, an improved adaptive backstepping control scheme is developed to substantially deal with the effect of unknown parameter vectors and dead-zone nonlinearities. Accordingly, an associated event-triggered mechanism including the decreasing function of tracking errors is designed to obtain the desired tracking performance and thus the computation burden of the transmissions procedure can be significantly alleviated. It is further shown that all the closed-loop signals are uniformly bounded and that the asymptotic tracking can be achieved based on Lyapunov function method. Finally, the validity of the presented approach is demonstrated by two simulation examples.

Keywords: Adaptive control; Event-triggered control (ETC); Uncertain nonlinear system; Dead-zone nonlinearity; Asymptotic tracking (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0096300320304732
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:386:y:2020:i:c:s0096300320304732

DOI: 10.1016/j.amc.2020.125528

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 ().