A Combined Backstepping and Small-Gain Approach to Robust Adaptive Fuzzy Output Feedback Control

Autor:	Shaocheng Tong, Xianglei He, Huaguang Zhang
Rok vydání:	2009
Předmět:	Adaptive control Applied Mathematics Fuzzy control system Fuzzy logic Nonlinear system Computational Theory and Mathematics Artificial Intelligence Control and Systems Engineering Control theory Backstepping Control system State observer Robust control Mathematics
Zdroj:	IEEE Transactions on Fuzzy Systems. 17:1059-1069
ISSN:	1941-0034 1063-6706
Popis:	In this paper, an adaptive fuzzy output feedback control approach is proposed for single-input-single-output nonlinear systems without the measurements of the states. The nonlinear systems addressed in this paper are assumed to possess unmodeled dynamics in the presence of unstructured uncertainties and dynamic disturbances, where the unstructured uncertainties are not linearly parameterized, and no prior knowledge of their bounds are available. Fuzzy logic systems are used to approximate the unstructured uncertainties, and a state observer is developed to estimate the unmeasured states. By combining the backstepping technique with the small-gain approach, a stable adaptive fuzzy output feedback control method is proposed. It is shown that by applying the proposed adaptive fuzzy control approach, the closed-loop systems are semiglobally uniformly ultimately bounded. The effectiveness of the proposed approach is illustrated from simulation results.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::c55a4e678d8439c8e97eb17da365fe37 https://doi.org/10.1109/tfuzz.2009.2021648 Zobrazit plný text záznamu