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Robust output feedback control for a class of nonlinear systems by adaptive neural networks

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2 Author(s)
Long Lijun ; Sch. of Math. & Syst. Sci., Southwest Univ., Chongqing, China ; Xie Chengkang

By Nussbaum-type gain technique and adaptive neural network, a robust adaptive neural network controller is established for a class of uncertain nonlinear systems. Under this controller, the output is regulated to a neighborhood of origin by appropriately choosing design parameters, and all signals of the closed-loop are kept bounded. The feasibility is investigated by an illustrative simulation example.

Published in:

Control and Decision Conference, 2009. CCDC '09. Chinese

Date of Conference:

17-19 June 2009