Subspace Algorithm for Identifying Bilinear Repetitive Processes with Deterministic Inputs

Jose A. Ramos; Eric Rogers; Paulo Lopes dos Santos; Teresa Paula Azevedo Perdicoulis

doi:10.1109/ecc.2016.7810429

Subspace Algorithm for Identifying Bilinear Repetitive Processes with Deterministic Inputs

Jose A. Ramos
, Eric Rogers
, Paulo Lopes dos Santos
, Teresa Paula Azevedo Perdicoulis

Research output: Contribution to conference › Paper › peer-review

Abstract

In this paper we introduce a bilinear repetitive process and present an iterative subspace algorithm for its identification. The advantage of the proposed approach is that it overcomes the “curse of dimensionality”, a hurdle commonly encountered with classical bilinear subspace identification algorithms. Simulation results show that the algorithm converges quickly and provides new alternatives for modeling/identifying nonlinear repetitive processes.

Original language	American English
Pages	1057-1062
Number of pages	6
DOIs	https://doi.org/10.1109/ecc.2016.7810429
State	Published - Jun 1 2016
Event	European Control Conference - Aalborg, Denmark Duration: Jun 29 2016 → Jul 1 2016 https://ieeexplore.ieee.org/xpl/conhome/7792520/proceeding

Conference

Conference	European Control Conference
Country/Territory	Denmark
City	Aalborg
Period	6/29/16 → 7/1/16
Internet address	https://ieeexplore.ieee.org/xpl/conhome/7792520/proceeding

Bibliographical note

Publisher Copyright:
© 2016 EUCA.

ASJC Scopus Subject Areas

Control and Systems Engineering
Control and Optimization

Disciplines

Computer Sciences

Access to Document

10.1109/ecc.2016.7810429

Cite this

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title = "Subspace Algorithm for Identifying Bilinear Repetitive Processes with Deterministic Inputs",

abstract = " In this paper we introduce a bilinear repetitive process and present an iterative subspace algorithm for its identification. The advantage of the proposed approach is that it overcomes the “curse of dimensionality”, a hurdle commonly encountered with classical bilinear subspace identification algorithms. Simulation results show that the algorithm converges quickly and provides new alternatives for modeling/identifying nonlinear repetitive processes.",

author = "Ramos, \{Jose A.\} and Eric Rogers and \{Lopes dos Santos\}, Paulo and \{Azevedo Perdicoulis\}, \{Teresa Paula\}",

note = "Publisher Copyright: {\textcopyright} 2016 EUCA.; European Control Conference ; Conference date: 29-06-2016 Through 01-07-2016",

year = "2016",

month = jun,

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doi = "10.1109/ecc.2016.7810429",

language = "American English",

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T1 - Subspace Algorithm for Identifying Bilinear Repetitive Processes with Deterministic Inputs

AU - Ramos, Jose A.

AU - Rogers, Eric

AU - Lopes dos Santos, Paulo

AU - Azevedo Perdicoulis, Teresa Paula

PY - 2016/6/1

Y1 - 2016/6/1

N2 - In this paper we introduce a bilinear repetitive process and present an iterative subspace algorithm for its identification. The advantage of the proposed approach is that it overcomes the “curse of dimensionality”, a hurdle commonly encountered with classical bilinear subspace identification algorithms. Simulation results show that the algorithm converges quickly and provides new alternatives for modeling/identifying nonlinear repetitive processes.

AB - In this paper we introduce a bilinear repetitive process and present an iterative subspace algorithm for its identification. The advantage of the proposed approach is that it overcomes the “curse of dimensionality”, a hurdle commonly encountered with classical bilinear subspace identification algorithms. Simulation results show that the algorithm converges quickly and provides new alternatives for modeling/identifying nonlinear repetitive processes.

UR - https://nsuworks.nova.edu/gscis_facarticles/440

U2 - 10.1109/ecc.2016.7810429

DO - 10.1109/ecc.2016.7810429

M3 - Paper

SP - 1057

EP - 1062

T2 - European Control Conference

Y2 - 29 June 2016 through 1 July 2016

ER -

Subspace Algorithm for Identifying Bilinear Repetitive Processes with Deterministic Inputs

Abstract

Conference

Bibliographical note

ASJC Scopus Subject Areas

Disciplines

Access to Document

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