GMV control of nonlinear multivariable systems

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Abstract

A Generalized Minimum Variance control law is derived for the control of nonlinear, possibly time-varying multivariable systems. The solution for the control law is original and was obtained in the time-domain using a simple operator representation of the process. The quadratic cost index involves both error and control signal costing terms. The controller obtained is simple to implement and includes an internal model of the process. In one form might be considered a nonlinear version of the Smith Predictor. However, unlike the Smith Predictor a stabilizing control law can be obtained even for some open-loop unstable processes
Original languageEnglish
Number of pages3
Publication statusPublished - Sep 2004
EventUKACC Control Conference 2004 - University of Bath, Bath, United Kingdom
Duration: 6 Sep 20049 Sep 2004
http://ukacc.group.shef.ac.uk/proceedings/control2004/Start.htm

Conference

ConferenceUKACC Control Conference 2004
Abbreviated titleControl 2004
CountryUnited Kingdom
CityBath
Period6/09/049/09/04
Internet address

Keywords

  • gmv control
  • nonlinear
  • multivariable systems
  • optimal control
  • optimisation
  • minimum variance

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