Exploration of some nonlinear models structures for control

Youlian Stoev; Joannes Schoukens

Samenvatting

Nonlinear control is a very big and fast moving field with many important theoretical and practical challenges. Only a restricted number of nonlinear model classes can be used for designing a practical nonlinear control system and analytical conversion of one class of model into another class of model is often a task very far from trivial. On the other side nonlinear system identification has it own tools and challenges. It is important to make the nonlinear identification results relevant for the practical applications in nonlinear control. In this work we present from the identification viewpoint some polynomial nonlinear model structures, which are known to be relatively easy to control. We verify how some of these known structures can model our experimental system, which has a Wiener-Hammerstein structure. We evaluate the performance and complexity of the resulting models.

Originele taal-2	English
Titel	Presentation of poster at ERNSI 2014, European Research Network on System Identification, Oostende, Belgium, September 21-24, 2014
Status	Published - 21 sep. 2014
Evenement	ERNSI 2014 - Thermae Palace Hotel, Ostend, Belgium Duur: 21 sep. 2014 → 24 sep. 2014

Workshop

Workshop	ERNSI 2014
Periode	21/09/14 → 24/09/14
Ander	Modelling of dynamical systems is fundamental in almost all disciplines of science and engineering, ranging from life science to plant-wide process control. Engineering uses models for the design and analysis of complex technical systems. System identification concerns the construction, estimation and validation of mathematical models of dynamical physical or engineering phenomena from experimental data. This is the 23rd version of the European Workshop on System Identification, the first one being held in Saint-Malo in 1992. All through these years the workshop has maintained the scope of bringing together European researchers in the area of System Identification, in an informal setting that gives ample opportunities for participants to meet. The workshop program is composed of lectures from invited speakers, lectures from members of the ERNSI community, and poster presentations by -particularly- the PhD students and postdocs that are active in the network.

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abstract = "Nonlinear control is a very big and fast moving field with many important theoretical and practical challenges. Only a restricted number of nonlinear model classes can be used for designing a practical nonlinear control system and analytical conversion of one class of model into another class of model is often a task very far from trivial. On the other side nonlinear system identification has it own tools and challenges. It is important to make the nonlinear identification results relevant for the practical applications in nonlinear control. In this work we present from the identification viewpoint some polynomial nonlinear model structures, which are known to be relatively easy to control. We verify how some of these known structures can model our experimental system, which has a Wiener-Hammerstein structure. We evaluate the performance and complexity of the resulting models.",

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author = "Youlian Stoev and Joannes Schoukens",

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T1 - Exploration of some nonlinear models structures for control

AU - Stoev, Youlian

AU - Schoukens, Joannes

PY - 2014/9/21

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N2 - Nonlinear control is a very big and fast moving field with many important theoretical and practical challenges. Only a restricted number of nonlinear model classes can be used for designing a practical nonlinear control system and analytical conversion of one class of model into another class of model is often a task very far from trivial. On the other side nonlinear system identification has it own tools and challenges. It is important to make the nonlinear identification results relevant for the practical applications in nonlinear control. In this work we present from the identification viewpoint some polynomial nonlinear model structures, which are known to be relatively easy to control. We verify how some of these known structures can model our experimental system, which has a Wiener-Hammerstein structure. We evaluate the performance and complexity of the resulting models.

AB - Nonlinear control is a very big and fast moving field with many important theoretical and practical challenges. Only a restricted number of nonlinear model classes can be used for designing a practical nonlinear control system and analytical conversion of one class of model into another class of model is often a task very far from trivial. On the other side nonlinear system identification has it own tools and challenges. It is important to make the nonlinear identification results relevant for the practical applications in nonlinear control. In this work we present from the identification viewpoint some polynomial nonlinear model structures, which are known to be relatively easy to control. We verify how some of these known structures can model our experimental system, which has a Wiener-Hammerstein structure. We evaluate the performance and complexity of the resulting models.

KW - nonlinear models

M3 - Meeting abstract (Book)

BT - Presentation of poster at ERNSI 2014, European Research Network on System Identification, Oostende, Belgium, September 21-24, 2014

T2 - ERNSI 2014

Y2 - 21 September 2014 through 24 September 2014

ER -

Exploration of some nonlinear models structures for control

Samenvatting

Workshop

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