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 |
|---|---|
| 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 (Electronic) | 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 |
Publication series
| Name | ICCAS 2015 - 2015 15th International Conference on Control, Automation and Systems, Proceedings |
|---|
Other
| Other | 15th International Conference on Control, Automation and Systems, ICCAS 2015 |
|---|---|
| Country/Territory | Korea, Republic of |
| City | Busan |
| Period | 15/10/13 → 15/10/16 |
Bibliographical note
Publisher Copyright:© 2015 Institute of Control, Robotics and Systems - ICROS.
Keywords
- Dissipative filtering
- Linear matrix inequality(LMI)
- Takagi-Sugeno fuzzy Hopfield neural network
ASJC Scopus subject areas
- Control and Systems Engineering
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