Input-output linearization of a pilot pressure plant using a dynamic neural network model

V. M. Becerra; F. Garces; J. M. F. Calado; P. M. Silva

Input-output linearization of a pilot pressure plant using a dynamic neural network model

V. M. Becerra, F. Garces, J. M. F. Calado, P. M. Silva

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper describes a method for feedback linearization based on dynamic neural network (DNN) models. The parameters of these models can be identified to reproduce the behaviour of a dynamic system. The model is then used to compute the input-output linearization transformations. The same model is used as an open loop observer to provide state information to compute the input-output linearization. An external linear controller is used to control the input output linearized system. The method is applied to a pilot scale pressure plant.

Original language	English
Title of host publication	Artificial intelligence and applications
Subtitle of host publication	(AIA 2003)
Editors	M. H. Hamza
Place of Publication	Calgary
Publisher	ACTA Press
Publication status	Published - 2003
Event	IASTED International Conference on Artificial Intelligence and Applications (AIA) - Benalmadena, Spain Duration: 8 Sept 2003 → 10 Sept 2003

Conference

Conference	IASTED International Conference on Artificial Intelligence and Applications (AIA)
Country/Territory	Spain
City	Benalmadena
Period	8/09/03 → 10/09/03

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http://centaur.reading.ac.uk/14594/

Cite this

@inproceedings{405409b05f604d7baeaa1763fa05c00c,

title = "Input-output linearization of a pilot pressure plant using a dynamic neural network model",

abstract = "This paper describes a method for feedback linearization based on dynamic neural network (DNN) models. The parameters of these models can be identified to reproduce the behaviour of a dynamic system. The model is then used to compute the input-output linearization transformations. The same model is used as an open loop observer to provide state information to compute the input-output linearization. An external linear controller is used to control the input output linearized system. The method is applied to a pilot scale pressure plant.",

author = "Becerra, \{V. M.\} and F. Garces and Calado, \{J. M. F.\} and Silva, \{P. M.\}",

year = "2003",

language = "English",

editor = "\{ Hamza \}, \{M. H.\}",

booktitle = "Artificial intelligence and applications",

publisher = "ACTA Press",

address = "Canada",

note = "IASTED International Conference on Artificial Intelligence and Applications (AIA) ; Conference date: 08-09-2003 Through 10-09-2003",

}

Becerra, VM, Garces, F, Calado, JMF & Silva, PM 2003, Input-output linearization of a pilot pressure plant using a dynamic neural network model. in MH Hamza (ed.), Artificial intelligence and applications: (AIA 2003)., 403-003, ACTA Press, Calgary, IASTED International Conference on Artificial Intelligence and Applications (AIA), Benalmadena, Spain, 8/09/03. <http://centaur.reading.ac.uk/14594/>

TY - GEN

T1 - Input-output linearization of a pilot pressure plant using a dynamic neural network model

AU - Becerra, V. M.

AU - Garces, F.

AU - Calado, J. M. F.

AU - Silva, P. M.

PY - 2003

Y1 - 2003

N2 - This paper describes a method for feedback linearization based on dynamic neural network (DNN) models. The parameters of these models can be identified to reproduce the behaviour of a dynamic system. The model is then used to compute the input-output linearization transformations. The same model is used as an open loop observer to provide state information to compute the input-output linearization. An external linear controller is used to control the input output linearized system. The method is applied to a pilot scale pressure plant.

AB - This paper describes a method for feedback linearization based on dynamic neural network (DNN) models. The parameters of these models can be identified to reproduce the behaviour of a dynamic system. The model is then used to compute the input-output linearization transformations. The same model is used as an open loop observer to provide state information to compute the input-output linearization. An external linear controller is used to control the input output linearized system. The method is applied to a pilot scale pressure plant.

M3 - Conference contribution

BT - Artificial intelligence and applications

A2 - Hamza , M. H.

PB - ACTA Press

CY - Calgary

T2 - IASTED International Conference on Artificial Intelligence and Applications (AIA)

Y2 - 8 September 2003 through 10 September 2003

ER -

Input-output linearization of a pilot pressure plant using a dynamic neural network model

Abstract

Conference

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