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Predictive control for general nonlinear systems using approximation

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posted on 2008-10-24, 08:09 authored by Wen-Hua ChenWen-Hua Chen
This paper addresses a tracking problem for general nonlinear systems using model predictive control (MPC). After approximating the tracking error in the receding horizon by its Taylor series expansion to any specified order, an analytic solution to the MPC is developed and a closed-form nonlinear predictive controller is presented. Different from other nonlinear model predictive control (NMPC), there is a built-in integral action in the developed scheme and the implementation issues are discussed. Further more, it is pointed out that the proposed NMPC derived using approximation can stablise the original nonlinear systems if certain condition, which can be met by properly choosing predictive times and the order for Taylor expansion, is satisfied. Simulation demonstrates the effectiveness of the proposed NMPC.

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Citation

CHEN, W-H., 2004. Predictive control for general nonlinear systems using approximation. IEE proceedings: control theory and applications, 151 (2), pp. 137-144

Publisher

© Institution of Electrical Engineers

Publication date

2004

Notes

This is a journal article. It was published in the journal, IEE proceedings: control theory and applications and is subject to Institution of Engineering and Technology copyright: http://www.ietdl.org/journals/doc/IEEDRL-home/info/support/copyinf.jsp. The definitive version of the paper is available at IET Digital Library.

ISSN

1350-2379

Language

  • en

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