Discrete-time Takagi-Sugeno fuzzy finite impulse response filter

Jun Ho Chung, Chang Joo Lee, Hyun Duck Choi, Choon Ki Ahn, Myo Taeg Lim

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

Abstract

In this research article, a new finite impulse response (FIR) filter for discrete time Takagi-Sugeno (T-S) fuzzy system is proposed to estimate the state of non-linear system. Compared with conventional T-S fuzzy filters which are known to have infinite impulse response (IIR) and require whole data from initial time to the current time to operate, the proposed filter is a FIR filter which guarantees to have robustness to unknown initial data. In addition, the proposed FIR filter satisfies the unbiased condition with the minimum variance error. Simulation result demonstrates that the proposed FIR filter is more robust and fast in convergence under the incorrect initial data than the existing non-linear filters with the same condition by using tunnel diode model.

Original languageEnglish
Title of host publicationInternational Conference on Control, Automation and Systems
PublisherIEEE Computer Society
Pages381-385
Number of pages5
ISBN (Print)9788993215069
DOIs
Publication statusPublished - 2014 Jan 1
Event2014 14th International Conference on Control, Automation and Systems, ICCAS 2014 - Gyeonggi-do, Korea, Republic of
Duration: 2014 Oct 222014 Oct 25

Other

Other2014 14th International Conference on Control, Automation and Systems, ICCAS 2014
CountryKorea, Republic of
CityGyeonggi-do
Period14/10/2214/10/25

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ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Chung, J. H., Lee, C. J., Choi, H. D., Ahn, C. K., & Lim, M. T. (2014). Discrete-time Takagi-Sugeno fuzzy finite impulse response filter. In International Conference on Control, Automation and Systems (pp. 381-385). [6988026] IEEE Computer Society. https://doi.org/10.1109/ICCAS.2014.6988026