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  • This paper introduces a controller which integrates a predictive control synthesis based on a multivariable state-space model of the controlled system and an on-line identification of an ARX model corresponding to the state-space model. The used approach then combines both the state-space and input-output models. The model parameters are recursively estimated using the recursive least squares method with the directional forgetting. The control algorithm is based on the Generalised Predictive Control (GPC) method. The optimization was realized by minimization of a quadratic objective function. The controller was applied for real-time control of a three-tank-system laboratory model. The objective laboratory model is a two input-two output (TITO) nonlinear system. It is based on experience with authentic industrial control applications. Results of real-time experiments are also included.
  • This paper introduces a controller which integrates a predictive control synthesis based on a multivariable state-space model of the controlled system and an on-line identification of an ARX model corresponding to the state-space model. The used approach then combines both the state-space and input-output models. The model parameters are recursively estimated using the recursive least squares method with the directional forgetting. The control algorithm is based on the Generalised Predictive Control (GPC) method. The optimization was realized by minimization of a quadratic objective function. The controller was applied for real-time control of a three-tank-system laboratory model. The objective laboratory model is a two input-two output (TITO) nonlinear system. It is based on experience with authentic industrial control applications. Results of real-time experiments are also included. (en)
Title
  • Adaptive Predictive Control Utilizing Both State-Space and Input-Output Models
  • Adaptive Predictive Control Utilizing Both State-Space and Input-Output Models (en)
skos:prefLabel
  • Adaptive Predictive Control Utilizing Both State-Space and Input-Output Models
  • Adaptive Predictive Control Utilizing Both State-Space and Input-Output Models (en)
skos:notation
  • RIV/70883521:28140/12:43869085!RIV13-MSM-28140___
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  • 121056
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  • RIV/70883521:28140/12:43869085
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  • predictive control, adaptive control, state-space model, input-output model, recursive identification, multivariable systems (en)
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http://linked.open...ontrolniKodProRIV
  • [8FDF509326DE]
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  • Advances in Mathematical and Computational Methods
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  • Bobál, Vladimír
  • Kubalčík, Marek
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
issn
  • 2227-4588
number of pages
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  • WSEAS
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  • 978-1-61804-117-3
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  • 28140
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