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Title: Predictive control of nonlinear systems with ill-defined relative degrees: an analytic approach [published as: Analytic predictive controllers for nonlinear systems with Ill-defined relative degree]
Authors: Chen, Wen-Hua
Keywords: Predictive Control
Optimal Control
Nonlinear Systems
Tracking
Feedback Linearisation
Issue Date: 2001
Publisher: © Institution of Electrical Engineers
Citation: CHEN, W-H., 2001. Predictive control of nonlinear systems with ill-defined relative degrees: an analytic approach [published as: Analytic predictive controllers for nonlinear systems with Ill-defined relative degree]. IEE proceedings: control theory and applications, 148 (1), pp. 9-16
Abstract: This paper addresses the problem of control of nonlinear systems with ill-defined relative degrees. The solution to an optimal tracking problem in terms of a generalised predictive performance index is presented when the output tracking error is predicted by Taylor series approximation up to an arbitrary chosen order. It is shown that the optimal control law for nonlinear systems with ill-defined relative degrees leads to a switch control scheme is resulted . It is shown that similar to conventional predictive control, analytic model predictive control provides a natural tool to deal with systems with ill-defined relative degrees. A novel scheme is developed with the frame of model predictive control It is shown that the closed-loop system is asymptotically stable.
Description: 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.
URI: https://dspace.lboro.ac.uk/2134/3853
ISSN: 1350-2379
Appears in Collections:Published Articles (Aeronautical and Automotive Engineering)

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