Output regulation of large-scale T-S fuzzy-model-based decentralized control systems with unknown interconnection terms

Yong Hoon Jang; Han Sol Kim; Young Hoon Joo; Jin Bae Park

doi:10.1109/FUZZ-IEEE.2017.8015712

Output regulation of large-scale T-S fuzzy-model-based decentralized control systems with unknown interconnection terms

Yong Hoon Jang, Han Sol Kim, Young Hoon Joo, Jin Bae Park

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

2 Citations (Scopus)

Abstract

This paper considers a regulation problem of non-linear large-scale systems. To do this, a Takagi-Sugeno (T-S) fuzzy model is adopted for fuzzy modeling of the nonlinear large-scale systems, which has unknown interconnection terms. An output-feedback decentralized fuzzy controller with integral action is employed to drive the system outputs to reach a reference value and minimize the steady-state error. Sufficient conditions for the output regulation are derived from Lyapunov stability and these are formulated in terms of linear matrix inequalities (LMI). Finally, a numerical simulation example is given to demonstrate the effectiveness of the proposed design procedures and regulation conditions.

Original language	English
Title of host publication	2017 IEEE International Conference on Fuzzy Systems, FUZZ 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509060344
DOIs	https://doi.org/10.1109/FUZZ-IEEE.2017.8015712
Publication status	Published - 2017 Aug 23
Event	2017 IEEE International Conference on Fuzzy Systems, FUZZ 2017 - Naples, Italy Duration: 2017 Jul 9 → 2017 Jul 12

Publication series

Name	IEEE International Conference on Fuzzy Systems
ISSN (Print)	1098-7584

Other

Other	2017 IEEE International Conference on Fuzzy Systems, FUZZ 2017
Country/Territory	Italy
City	Naples
Period	17/7/9 → 17/7/12

Bibliographical note

Funding Information:
This work was supported by the Institute of BioMed-IT, Energy-IT and Smart-IT Technology (BEST), a Brain Korea 21 plus program, Yonsei University, by Barun ICT Research Center at Yonsei University, and by the National Research Foundation of Korea (NRF) grantfunded by the Korea government(MEST)(NRF-2015R1A2A2A05001610).

Publisher Copyright:
© 2017 IEEE.

All Science Journal Classification (ASJC) codes

Software
Theoretical Computer Science
Artificial Intelligence
Applied Mathematics

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10.1109/FUZZ-IEEE.2017.8015712

Cite this

Jang, Y. H., Kim, H. S., Joo, Y. H., & Park, J. B. (2017). Output regulation of large-scale T-S fuzzy-model-based decentralized control systems with unknown interconnection terms. In 2017 IEEE International Conference on Fuzzy Systems, FUZZ 2017 [8015712] (IEEE International Conference on Fuzzy Systems). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/FUZZ-IEEE.2017.8015712

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abstract = "This paper considers a regulation problem of non-linear large-scale systems. To do this, a Takagi-Sugeno (T-S) fuzzy model is adopted for fuzzy modeling of the nonlinear large-scale systems, which has unknown interconnection terms. An output-feedback decentralized fuzzy controller with integral action is employed to drive the system outputs to reach a reference value and minimize the steady-state error. Sufficient conditions for the output regulation are derived from Lyapunov stability and these are formulated in terms of linear matrix inequalities (LMI). Finally, a numerical simulation example is given to demonstrate the effectiveness of the proposed design procedures and regulation conditions.",

author = "Jang, {Yong Hoon} and Kim, {Han Sol} and Joo, {Young Hoon} and Park, {Jin Bae}",

note = "Funding Information: This work was supported by the Institute of BioMed-IT, Energy-IT and Smart-IT Technology (BEST), a Brain Korea 21 plus program, Yonsei University, by Barun ICT Research Center at Yonsei University, and by the National Research Foundation of Korea (NRF) grantfunded by the Korea government(MEST)(NRF-2015R1A2A2A05001610). Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE International Conference on Fuzzy Systems, FUZZ 2017 ; Conference date: 09-07-2017 Through 12-07-2017",

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Jang, YH, Kim, HS, Joo, YH & Park, JB 2017, Output regulation of large-scale T-S fuzzy-model-based decentralized control systems with unknown interconnection terms. in 2017 IEEE International Conference on Fuzzy Systems, FUZZ 2017., 8015712, IEEE International Conference on Fuzzy Systems, Institute of Electrical and Electronics Engineers Inc., 2017 IEEE International Conference on Fuzzy Systems, FUZZ 2017, Naples, Italy, 17/7/9. https://doi.org/10.1109/FUZZ-IEEE.2017.8015712

Output regulation of large-scale T-S fuzzy-model-based decentralized control systems with unknown interconnection terms. / Jang, Yong Hoon; Kim, Han Sol; Joo, Young Hoon et al.
2017 IEEE International Conference on Fuzzy Systems, FUZZ 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 8015712 (IEEE International Conference on Fuzzy Systems).

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

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AU - Jang, Yong Hoon

AU - Kim, Han Sol

AU - Joo, Young Hoon

AU - Park, Jin Bae

N1 - Funding Information: This work was supported by the Institute of BioMed-IT, Energy-IT and Smart-IT Technology (BEST), a Brain Korea 21 plus program, Yonsei University, by Barun ICT Research Center at Yonsei University, and by the National Research Foundation of Korea (NRF) grantfunded by the Korea government(MEST)(NRF-2015R1A2A2A05001610). Publisher Copyright: © 2017 IEEE.

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Y1 - 2017/8/23

N2 - This paper considers a regulation problem of non-linear large-scale systems. To do this, a Takagi-Sugeno (T-S) fuzzy model is adopted for fuzzy modeling of the nonlinear large-scale systems, which has unknown interconnection terms. An output-feedback decentralized fuzzy controller with integral action is employed to drive the system outputs to reach a reference value and minimize the steady-state error. Sufficient conditions for the output regulation are derived from Lyapunov stability and these are formulated in terms of linear matrix inequalities (LMI). Finally, a numerical simulation example is given to demonstrate the effectiveness of the proposed design procedures and regulation conditions.

AB - This paper considers a regulation problem of non-linear large-scale systems. To do this, a Takagi-Sugeno (T-S) fuzzy model is adopted for fuzzy modeling of the nonlinear large-scale systems, which has unknown interconnection terms. An output-feedback decentralized fuzzy controller with integral action is employed to drive the system outputs to reach a reference value and minimize the steady-state error. Sufficient conditions for the output regulation are derived from Lyapunov stability and these are formulated in terms of linear matrix inequalities (LMI). Finally, a numerical simulation example is given to demonstrate the effectiveness of the proposed design procedures and regulation conditions.

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PB - Institute of Electrical and Electronics Engineers Inc.

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Jang YH, Kim HS, Joo YH, Park JB. Output regulation of large-scale T-S fuzzy-model-based decentralized control systems with unknown interconnection terms. In 2017 IEEE International Conference on Fuzzy Systems, FUZZ 2017. Institute of Electrical and Electronics Engineers Inc. 2017. 8015712. (IEEE International Conference on Fuzzy Systems). doi: 10.1109/FUZZ-IEEE.2017.8015712

Output regulation of large-scale T-S fuzzy-model-based decentralized control systems with unknown interconnection terms

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