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Robust adaptive output feedback control of a class of discrete-time nonlinear systems perturbed by nonlinear uncertainties

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4 Author(s)
Shi-Lu Dai ; Key Lab. of Integrated Autom. of Process Ind., Northeastern Univ., Shenyang, China ; Chenguang Yang ; Ge, S.S. ; Tong Heng Lee

In this paper, robust adaptive output feedback control is studied for a class of discrete-time nonlinear systems in output-feedback form perturbed by a class of functional nonlinear uncertainties of Lipschitz type. To construct output feedback control, the system is transformed into the form of nonlinear-auto-regressive-moving-average (NARMA), a novel future output prediction is designed based on the NARMA model. With employment of the predicted future outputs, a constructive output feedback adaptive control is proposed with estimates of both parametric and functional nonlinear uncertainties. In the closed-loop system, the effect of the nonlinear uncertainties are completely compensated for such that the exact output tracking is achieved, while other closed-loop signals are guaranteed to be bounded. Simulation results are presented to show the effectiveness of the proposed approach.

Published in:

Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on

Date of Conference:

15-18 Dec. 2009

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