Abstract
This paper proposes a decentralized H∞ fuzzy filter technique for nonlinear large-scale interconnected systems that are based on the Takagi–Sugeno fuzzy model. The large-scale system has unknown interconnection terms that are assumed to satisfy the quadratic bounds. An error system between the nonlinear large-scale system and the decentralized filter is constructed. By using the fuzzy Lyapunov technique, sufficient conditions are proposed for both showing asymptotic stability and guaranteeing H∞ fuzzy filter performance. These sufficient conditions are derived in terms of linear matrix inequalities. Finally, simulation examples are given to demonstrate the effectiveness of the proposed technique.
Original language | English |
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Pages (from-to) | 145-162 |
Number of pages | 18 |
Journal | Fuzzy Sets and Systems |
Volume | 344 |
DOIs | |
Publication status | Published - 2018 Aug 1 |
Bibliographical note
Funding Information:This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST) ( NRF-2015R1A2A2A05001610 ) and the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education ( NRF-2016R1A6A1A03013567 ).
Publisher Copyright:
© 2017 Elsevier B.V.
All Science Journal Classification (ASJC) codes
- Logic
- Artificial Intelligence