ROBUST ADAPTIVE FUZZY TRACKING CONTROL FOR A CLASS OF PERTURBED UNCERTAIN NONLINEAR SYSTEMS WITH UVCGF

Autor:	Yansheng Yang, Tieshan Li, Jiangqiang Hu, Linjia Yang
Rok vydání:	2007
Předmět:	Tracking error Nonlinear system Adaptive control Control theory Applied Mathematics Bounded function Backstepping Signal Processing Fuzzy control system Fuzzy logic Information Systems Mathematics
Zdroj:	International Journal of Wavelets, Multiresolution and Information Processing. :227-239
ISSN:	1793-690X 0219-6913
Popis:	In this paper, a robust adaptive fuzzy controller is presented for a wide class of perturbed uncertain nonlinear system with unknown virtual control gain function (UVCGF). The Mamdani fuzzy system is used to approximate unstructured uncertain functions in the system. The proposed algorithm, which incorporated Nussbaum-type gain into the decoupled backstepping approach, does not require a priori knowledge of the sign of UVCGF, and circumvents the controller-singularity problem gracefully in some existing literatures. It proved that the tracking error can be driven to a small residual set while keeping all signals in the closed-loop system semi-globally uniformly ultimately bounded (SGUUB). Simulation results are presented to validate the effectiveness of the proposed controller.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::e05781cb7e6e6fc6380a540e74155e24 https://doi.org/10.1142/s0219691307001604 Zobrazit plný text záznamu