Identification of Weakly Nonlinear Systems Based on Support Vector Machines

Anna Marconato; Andrea Boni; D. Petri; Joannes Schoukens

Identification of Weakly Nonlinear Systems Based on Support Vector Machines

Anna Marconato, Andrea Boni, D. Petri, Joannes Schoukens

Electricity

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

1 Citation (Scopus)

Abstract

In this work we analyze the application of Support Vector Machines for Regression (SVRs) to the problem of identifying weakly nonlinear systems. Examples of simple linear and nonlinear systems are considered, taking into account both non-recursive and recursive models. When defining the SVR estimating function, several kinds of kernels are employed, and the effect on the accuracy performance of reducing the training set size is studied.

Original language	English
Title of host publication	I2MTC 2009 - International Instrumentation and Measurement Technology Conference Singapore, 5-7 May 2009
Pages	122-127
Number of pages	6
Publication status	Published - 5 May 2009
Event	Finds and Results from the Swedish Cyprus Expedition: A Gender Perspective at the Medelhavsmuseet - Stockholm, Sweden Duration: 21 Sept 2009 → 25 Sept 2009

Conference

Conference	Finds and Results from the Swedish Cyprus Expedition: A Gender Perspective at the Medelhavsmuseet
Country/Territory	Sweden
City	Stockholm
Period	21/09/09 → 25/09/09

Keywords

Identification
weakly nonlinear systems

Cite this

@inproceedings{e3ff7d2d67f140b5a598484e9b12ff53,

title = "Identification of Weakly Nonlinear Systems Based on Support Vector Machines",

abstract = "In this work we analyze the application of Support Vector Machines for Regression (SVRs) to the problem of identifying weakly nonlinear systems. Examples of simple linear and nonlinear systems are considered, taking into account both non-recursive and recursive models. When defining the SVR estimating function, several kinds of kernels are employed, and the effect on the accuracy performance of reducing the training set size is studied.",

keywords = "Identification, weakly nonlinear systems",

author = "Anna Marconato and Andrea Boni and D. Petri and Joannes Schoukens",

year = "2009",

month = may,

day = "5",

language = "English",

isbn = "978-1-4244-3353-7",

pages = "122--127",

booktitle = "I2MTC 2009 - International Instrumentation and Measurement Technology Conference Singapore, 5-7 May 2009",

note = "Finds and Results from the Swedish Cyprus Expedition: A Gender Perspective at the Medelhavsmuseet ; Conference date: 21-09-2009 Through 25-09-2009",

}

Marconato, A, Boni, A, Petri, D & Schoukens, J 2009, Identification of Weakly Nonlinear Systems Based on Support Vector Machines. in I2MTC 2009 - International Instrumentation and Measurement Technology Conference Singapore, 5-7 May 2009. pp. 122-127, Finds and Results from the Swedish Cyprus Expedition: A Gender Perspective at the Medelhavsmuseet, Stockholm, Sweden, 21/09/09.

TY - GEN

T1 - Identification of Weakly Nonlinear Systems Based on Support Vector Machines

AU - Marconato, Anna

AU - Boni, Andrea

AU - Petri, D.

AU - Schoukens, Joannes

PY - 2009/5/5

Y1 - 2009/5/5

N2 - In this work we analyze the application of Support Vector Machines for Regression (SVRs) to the problem of identifying weakly nonlinear systems. Examples of simple linear and nonlinear systems are considered, taking into account both non-recursive and recursive models. When defining the SVR estimating function, several kinds of kernels are employed, and the effect on the accuracy performance of reducing the training set size is studied.

AB - In this work we analyze the application of Support Vector Machines for Regression (SVRs) to the problem of identifying weakly nonlinear systems. Examples of simple linear and nonlinear systems are considered, taking into account both non-recursive and recursive models. When defining the SVR estimating function, several kinds of kernels are employed, and the effect on the accuracy performance of reducing the training set size is studied.

KW - Identification

KW - weakly nonlinear systems

M3 - Conference paper

SN - 978-1-4244-3353-7

SP - 122

EP - 127

BT - I2MTC 2009 - International Instrumentation and Measurement Technology Conference Singapore, 5-7 May 2009

T2 - Finds and Results from the Swedish Cyprus Expedition: A Gender Perspective at the Medelhavsmuseet

Y2 - 21 September 2009 through 25 September 2009

ER -

Identification of Weakly Nonlinear Systems Based on Support Vector Machines

Abstract

Conference

Keywords

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