Design of generalized minimum variance controllers for nonlinear multivariable systems

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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.
LanguageEnglish
Pages281-292
Number of pages12
JournalInternational Journal of Control, Automation and Systems
Volume4
Issue number3
Publication statusPublished - 2006

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Multivariable systems
Controllers
Costs

Keywords

  • cost-function
  • minimum variance
  • nonlinear
  • optimal control
  • control systems

Cite this

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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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