Fuzzy adaptive backstepping robust control for SISO nonlinear system with dynamic uncertainties

Full text for this resource is not available from the Research Repository.

Tong, Shaocheng, Li, Yongming and Shi, Peng (2009) Fuzzy adaptive backstepping robust control for SISO nonlinear system with dynamic uncertainties. Information Sciences, 179 (9). pp. 1319-1332. ISSN 0020-0255

Abstract

In this paper, a fuzzy adaptive backstepping design procedure is proposed for a class of nonlinear systems with three types of uncertainties: (i) nonlinear uncertainties; (ii) unmodeled dynamics and (iii) dynamic disturbances. The fuzzy logic systems are used to approximate the nonlinear uncertainties, nonlinear damping terms are used to counteract the dynamic disturbances and fuzzy approximation errors, and a dynamic signal is introduced to dominate the unmodeled dynamics. The derived fuzzy adaptive control approach guarantees the global boundedness property for all the signals and states, and at the same time, steers the output to a small neighborhood of the origin. Simulation studies are included to illustrate the effectiveness of the proposed approach.

Dimensions Badge

Altmetric Badge

Item type Article
URI https://vuir.vu.edu.au/id/eprint/4639
DOI https://doi.org/10.1016/j.ins.2009.01.002
Official URL http://www.sciencedirect.com/science/article/pii/S...
Subjects Historical > Faculty/School/Research Centre/Department > Institute for Logistics and Supply Chain Management (ILSCM)
Historical > FOR Classification > 0906 Electrical and Electronic Engineering
Historical > SEO Classification > 970109 Expanding Knowledge in Engineering
Keywords ResPubID19351, nonlinear systems, fuzzy adaptive control, robust control, backstepping technique
Citations in Scopus 125 - View on Scopus
Download/View statistics View download statistics for this item

Search Google Scholar

Repository staff login