Adaptive Predictive Control Utilizing Both State-Space and Input-Output Models

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F12%3A43869085" target="_blank" >RIV/70883521:28140/12:43869085 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Adaptive Predictive Control Utilizing Both State-Space and Input-Output Models
Original language description
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 approachthen 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.
Czech name
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Czech description
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Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Advances in Mathematical and Computational Methods
ISBN
978-1-61804-117-3
ISSN
2227-4588
e-ISSN
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Number of pages
6
Pages from-to
85-90
Publisher name
WSEAS
Place of publication
Sliema
Event location
Sliema
Event date
Sep 7, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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