Abstract
This paper proposes a novel dissipative filter for Takagi-Sugeno fuzzy Hopfield neural networks with time varying delay. This filter guarantees (Q, S, R)-a-dissipativity and is regarded as a generalization of some performance indices, such as H∞ performance, passivity, and mixed H∞/passivity. The linear matrix inequality (LMI) approach solving convex problem is used to obtain a gain matrix satisfying both (Q, S, R)-a-dissipativity and asymptotic stability of the error system. Some simulations are dealt with to validate the performance of the proposed method.
Original language | English |
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Title of host publication | ICCAS 2015 - 2015 15th International Conference on Control, Automation and Systems, Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 181-185 |
Number of pages | 5 |
ISBN (Print) | 9788993215090 |
DOIs | |
Publication status | Published - 2015 Dec 23 |
Event | 15th International Conference on Control, Automation and Systems, ICCAS 2015 - Busan, Korea, Republic of Duration: 2015 Oct 13 → 2015 Oct 16 |
Other
Other | 15th International Conference on Control, Automation and Systems, ICCAS 2015 |
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Country/Territory | Korea, Republic of |
City | Busan |
Period | 15/10/13 → 15/10/16 |
Keywords
- Dissipative filtering
- Linear matrix inequality(LMI)
- Takagi-Sugeno fuzzy Hopfield neural network
ASJC Scopus subject areas
- Control and Systems Engineering