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.
|Title of host publication||2017 IEEE International Conference on Fuzzy Systems, FUZZ 2017|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|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
|Name||IEEE International Conference on Fuzzy Systems|
|Other||2017 IEEE International Conference on Fuzzy Systems, FUZZ 2017|
|Period||17/7/9 → 17/7/12|
Bibliographical noteFunding 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).
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Artificial Intelligence
- Applied Mathematics