Elsevier

Fuzzy Sets and Systems

Volume 160, Issue 12, 16 June 2009, Pages 1749-1764
Fuzzy Sets and Systems

Observer-based fuzzy adaptive control for strict-feedback nonlinear systems

https://doi.org/10.1016/j.fss.2008.09.004Get rights and content

Abstract

In this paper, a new fuzzy adaptive control approach is developed for a class of SISO strict-feedback nonlinear systems with unmeasured states. Using fuzzy logic systems to approximate the unknown nonlinear functions, a fuzzy adaptive observer is introduced for state estimation as well as system identification. Under the framework of the backstepping design, fuzzy adaptive output feedback control is constructed recursively. It is proven that the proposed fuzzy adaptive control approach guarantees the semi-global boundedness property for all the signals and the tracking error to a small neighborhood of the origin. Simulation studies are included to illustrate the effectiveness of the proposed approach.

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  • Cited by (0)

    This work was supported by the National Natural Science Foundation of China (no. 60674056), the National Key Basic Research and Development Program of China (no. 2002CB312200) and the Outstanding Youth Funds of Liaoning Province (no. 2005219001) and Educational Department of Liaoning Province (nos. 2006R29 and 2007T80).

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