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Design of Generalized Minimum Variance Controllers for Nonlinear Systems  

Grimble Michael J. (Industrial Control Centre, University of Strathclyde)
Publication Information
International Journal of Control, Automation, and Systems / v.4, no.3, 2006 , pp. 281-292 More about this Journal
Abstract
The design and implementation of Generalized Minimum Variance control laws for nonlinear multivariable systems that can include severe nonlinearities is considered. The quadratic cost index minimised involves dynamically weighted error and nonlinear control signal costing terms. The aim here is to show the controller obtained is simple to design and implement. The features of the control law are explored. The controller obtained includes an internal model of the process and in one form is a nonlinear version of the Smith Predictor.
Keywords
Cost-function; delays; minimum variance; nonlinear; optimal control;
Citations & Related Records

Times Cited By Web Of Science : 2  (Related Records In Web of Science)
Times Cited By SCOPUS : 3
연도 인용수 순위
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