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Adaptive general predictive controller for nonlinear systems

Zhu, Q. M., Warwick, K. and Douce, J. L. (1991) Adaptive general predictive controller for nonlinear systems. IEE Proceedings D: Control Theory and Applications, 138 (1). pp. 33-40. ISSN 0143-7054

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Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumb...

Abstract/Summary

A nonlinear general predictive controller (NLGPC) is described which is based on the use of a Hammerstein model within a recursive control algorithm. A key contribution of the paper is the use of a novel, one-step simple root solving procedure for the Hammerstein model, this being a fundamental part of the overall tuning algorithm. A comparison is made between NLGPC and nonlinear deadbeat control (NLDBC) using the same one-step nonlinear components, in order to investigate NLGPC advantages and disadvantages.

Item Type:Article
Refereed:Yes
Divisions:Faculty of Science > School of Systems Engineering
ID Code:18054
Uncontrolled Keywords:Hammerstein model, adaptive control, nonlinear deadbeat control, nonlinear systems, predictive controller, recursive control, root solving, tuning algorithm
Publisher:IET

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