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 |
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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 | |
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 |
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ISSN (Print) | 1098-7584 |
Other
Other | 2017 IEEE International Conference on Fuzzy Systems, FUZZ 2017 |
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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