Design of generalized minimum variance controllers for nonlinear multivariable systems

Grimble, Michael J. (2006) Design of generalized minimum variance controllers for nonlinear multivariable systems. International Journal of Control, Automation and Systems, 4 (3). pp. 281-292. ISSN 1598-6446

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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.

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• Item metadata

  Item type:	Article
  ID code:	7132
  Dates:	Date Event 2006 Published
  Subjects:	Technology > Electrical engineering. Electronics Nuclear engineering
  Department:	Faculty of Engineering > Electronic and Electrical Engineering
  Depositing user:	Strathprints Administrator
  Date deposited:	07 Nov 2008
  Last modified:	20 Nov 2024 01:04
  Related URLs:	http://www.ijcas.org/
  URI:	https://strathprints.strath.ac.uk/id/eprint/7132