Dissipative filter design for Takagi-Sugeno fuzzy neural networks

Kyu Chul Lee, Hyun Duk Choi, Dae Ki Kim, Choon Ki Ahn, Myo Taeg Lim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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 languageEnglish
Title of host publicationICCAS 2015 - 2015 15th International Conference on Control, Automation and Systems, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages181-185
Number of pages5
ISBN (Print)9788993215090
DOIs
Publication statusPublished - 2015 Dec 23
Event15th International Conference on Control, Automation and Systems, ICCAS 2015 - Busan, Korea, Republic of
Duration: 2015 Oct 132015 Oct 16

Other

Other15th International Conference on Control, Automation and Systems, ICCAS 2015
CountryKorea, Republic of
CityBusan
Period15/10/1315/10/16

Fingerprint

Hopfield neural networks
Fuzzy neural networks
Asymptotic stability
Linear matrix inequalities

Keywords

  • Dissipative filtering
  • Linear matrix inequality(LMI)
  • Takagi-Sugeno fuzzy Hopfield neural network

ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

Lee, K. C., Choi, H. D., Kim, D. K., Ahn, C. K., & Lim, M. T. (2015). Dissipative filter design for Takagi-Sugeno fuzzy neural networks. In ICCAS 2015 - 2015 15th International Conference on Control, Automation and Systems, Proceedings (pp. 181-185). [7364903] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCAS.2015.7364903

Dissipative filter design for Takagi-Sugeno fuzzy neural networks. / Lee, Kyu Chul; Choi, Hyun Duk; Kim, Dae Ki; Ahn, Choon Ki; Lim, Myo Taeg.

ICCAS 2015 - 2015 15th International Conference on Control, Automation and Systems, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. p. 181-185 7364903.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Lee, KC, Choi, HD, Kim, DK, Ahn, CK & Lim, MT 2015, Dissipative filter design for Takagi-Sugeno fuzzy neural networks. in ICCAS 2015 - 2015 15th International Conference on Control, Automation and Systems, Proceedings., 7364903, Institute of Electrical and Electronics Engineers Inc., pp. 181-185, 15th International Conference on Control, Automation and Systems, ICCAS 2015, Busan, Korea, Republic of, 15/10/13. https://doi.org/10.1109/ICCAS.2015.7364903
Lee KC, Choi HD, Kim DK, Ahn CK, Lim MT. Dissipative filter design for Takagi-Sugeno fuzzy neural networks. In ICCAS 2015 - 2015 15th International Conference on Control, Automation and Systems, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2015. p. 181-185. 7364903 https://doi.org/10.1109/ICCAS.2015.7364903
Lee, Kyu Chul ; Choi, Hyun Duk ; Kim, Dae Ki ; Ahn, Choon Ki ; Lim, Myo Taeg. / Dissipative filter design for Takagi-Sugeno fuzzy neural networks. ICCAS 2015 - 2015 15th International Conference on Control, Automation and Systems, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 181-185
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