The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL
Transactions ID Number: 53-700
Full Name: Marek Kubalcik
Position: Associate Professor
Age: ON
Sex: Male
Address: Nam. T. G. Masaryka 5555, Zlin, 76001
Country: CZECH REPUBLIC
Tel:
Tel prefix:
Fax:
E-mail address: kubalcik@fai.utb.cz
Other E-mails:
Title of the Paper: techniques for predictor design in multivariable predictive control
Authors as they appear in the Paper: Marek Kubalcik, Vladimir Bobal
Email addresses of all the authors: kubalcik@fai.utb.cz,bobal@fai.utb.cz
Number of paper pages: 12
Abstract: Model Based Predictive Control (MBPC) or only Predictive Control is one of the control methods which have developed considerably over a few past years. It is mostly based on discrete models of controlled systems. Model of a controlled system is used for computation of predictions of the systems output on the basis of past inputs, outputs and states and designed sequence of future control increments. This paper is focused in comparison of various approaches to computation of multi–step–ahead predictions using a multivariable input – output model. Computational aspects of derivation of predictions can be limiting especially in adaptive predictive control. Many processes are affected by external disturbances that can be measured. Inclusion of measurable disturbances into prediction equations for different approaches was also elaborated.
Keywords: predictive control, multivariable systems, multi-step-ahead prediction, Diophantine equations, CARIMA model
EXTENSION of the file: .pdf
Special (Invited) Session:
Organizer of the Session:
How Did you learn about congress: multivariable control, linear control, predictive control, process control
IP ADDRESS: 195.178.89.193
