Nonlinear system-identification using subspace algorithms for the control of multiscale process

Sivakumar Pitchaiah; Antonios Armaou

Nonlinear system-identification using subspace algorithms for the control of multiscale process

Sivakumar Pitchaiah, Antonios Armaou

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

Abstract

A computationally tractable online system-identification scheme based on subspace-system identification (SSI) was developed. The applicability of SSI algorithm was extended to identify a nonlinear process model and subsequently designed an output feedback robust controller based on the identified model. The applicability of the proposed identification scheme was demonstrated on a kinetic Monte Carlo realization of a simplified surface reaction scheme for the dynamics of NO oxidation by H₂ on Pt and Rh surfaces. The system is characterized by two "coarse" stable stationary states. An output feedback controller to successfully switch the process from one stationary state to the other was designed. This is an abstract of a paper presented at the AIChE Annual Meeting (Salt Lake City, UT 11/4-9/2007).

Original language	English (US)
Title of host publication	2007 AIChE Annual Meeting
State	Published - 2007
Event	2007 AIChE Annual Meeting - Salt Lake City, UT, United States Duration: Nov 4 2007 → Nov 9 2007

Publication series

Name	2007 AIChE Annual Meeting

Other

Other	2007 AIChE Annual Meeting
Country/Territory	United States
City	Salt Lake City, UT
Period	11/4/07 → 11/9/07

All Science Journal Classification (ASJC) codes

Biotechnology
General Chemical Engineering
Bioengineering
Safety, Risk, Reliability and Quality

Cite this

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title = "Nonlinear system-identification using subspace algorithms for the control of multiscale process",

abstract = "A computationally tractable online system-identification scheme based on subspace-system identification (SSI) was developed. The applicability of SSI algorithm was extended to identify a nonlinear process model and subsequently designed an output feedback robust controller based on the identified model. The applicability of the proposed identification scheme was demonstrated on a kinetic Monte Carlo realization of a simplified surface reaction scheme for the dynamics of NO oxidation by H2 on Pt and Rh surfaces. The system is characterized by two {"}coarse{"} stable stationary states. An output feedback controller to successfully switch the process from one stationary state to the other was designed. This is an abstract of a paper presented at the AIChE Annual Meeting (Salt Lake City, UT 11/4-9/2007).",

author = "Sivakumar Pitchaiah and Antonios Armaou",

year = "2007",

language = "English (US)",

isbn = "9780816910229",

series = "2007 AIChE Annual Meeting",

booktitle = "2007 AIChE Annual Meeting",

note = "2007 AIChE Annual Meeting ; Conference date: 04-11-2007 Through 09-11-2007",

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TY - GEN

T1 - Nonlinear system-identification using subspace algorithms for the control of multiscale process

AU - Pitchaiah, Sivakumar

AU - Armaou, Antonios

PY - 2007

Y1 - 2007

N2 - A computationally tractable online system-identification scheme based on subspace-system identification (SSI) was developed. The applicability of SSI algorithm was extended to identify a nonlinear process model and subsequently designed an output feedback robust controller based on the identified model. The applicability of the proposed identification scheme was demonstrated on a kinetic Monte Carlo realization of a simplified surface reaction scheme for the dynamics of NO oxidation by H2 on Pt and Rh surfaces. The system is characterized by two "coarse" stable stationary states. An output feedback controller to successfully switch the process from one stationary state to the other was designed. This is an abstract of a paper presented at the AIChE Annual Meeting (Salt Lake City, UT 11/4-9/2007).

AB - A computationally tractable online system-identification scheme based on subspace-system identification (SSI) was developed. The applicability of SSI algorithm was extended to identify a nonlinear process model and subsequently designed an output feedback robust controller based on the identified model. The applicability of the proposed identification scheme was demonstrated on a kinetic Monte Carlo realization of a simplified surface reaction scheme for the dynamics of NO oxidation by H2 on Pt and Rh surfaces. The system is characterized by two "coarse" stable stationary states. An output feedback controller to successfully switch the process from one stationary state to the other was designed. This is an abstract of a paper presented at the AIChE Annual Meeting (Salt Lake City, UT 11/4-9/2007).

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M3 - Conference contribution

AN - SCOPUS:58049086400

SN - 9780816910229

T3 - 2007 AIChE Annual Meeting

BT - 2007 AIChE Annual Meeting

T2 - 2007 AIChE Annual Meeting

Y2 - 4 November 2007 through 9 November 2007

ER -

Nonlinear system-identification using subspace algorithms for the control of multiscale process

Abstract

Publication series

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All Science Journal Classification (ASJC) codes

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