Kalman filtering for TS fuzzy state estimation

Sun Young Noh, Jin Bae Park, Young Hoon Joo

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

2 Citations (Scopus)

Abstract

This paper studies the T-S fuzzy model-based state estimator which the dynamic system can be approximated as linear system. It is suggested for a steady state estimator using standard Kalman filter theory. In that case, the steady state of nonlinear system can be represented by the T-S fuzzy model structure, which is further rearranged to give a set of a linear model. The steady state solutions can be found for a liner model method and dynamic system can be approximated as locally linear system. And then, linear modeled filter is corrected by the fuzzy gain which is a fuzzy system using the relation between the filter residual and its variation. It reduces the measurement residual with noise. Finally, the proposed state estimator is demonstrated on a truck-trailer.

Original languageEnglish
Title of host publication2006 SICE-ICASE International Joint Conference
Pages3800-3803
Number of pages4
DOIs
Publication statusPublished - 2006 Dec 1
Event2006 SICE-ICASE International Joint Conference - Busan, Korea, Republic of
Duration: 2006 Oct 182006 Oct 21

Publication series

Name2006 SICE-ICASE International Joint Conference

Other

Other2006 SICE-ICASE International Joint Conference
CountryKorea, Republic of
CityBusan
Period06/10/1806/10/21

Fingerprint

State estimation
Linear systems
Dynamical systems
Truck trailers
Fuzzy systems
Model structures
Kalman filters
Nonlinear systems

All Science Journal Classification (ASJC) codes

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

Cite this

Noh, S. Y., Park, J. B., & Joo, Y. H. (2006). Kalman filtering for TS fuzzy state estimation. In 2006 SICE-ICASE International Joint Conference (pp. 3800-3803). [4108422] (2006 SICE-ICASE International Joint Conference). https://doi.org/10.1109/SICE.2006.314634
Noh, Sun Young ; Park, Jin Bae ; Joo, Young Hoon. / Kalman filtering for TS fuzzy state estimation. 2006 SICE-ICASE International Joint Conference. 2006. pp. 3800-3803 (2006 SICE-ICASE International Joint Conference).
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Noh, SY, Park, JB & Joo, YH 2006, Kalman filtering for TS fuzzy state estimation. in 2006 SICE-ICASE International Joint Conference., 4108422, 2006 SICE-ICASE International Joint Conference, pp. 3800-3803, 2006 SICE-ICASE International Joint Conference, Busan, Korea, Republic of, 06/10/18. https://doi.org/10.1109/SICE.2006.314634

Kalman filtering for TS fuzzy state estimation. / Noh, Sun Young; Park, Jin Bae; Joo, Young Hoon.

2006 SICE-ICASE International Joint Conference. 2006. p. 3800-3803 4108422 (2006 SICE-ICASE International Joint Conference).

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

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Noh SY, Park JB, Joo YH. Kalman filtering for TS fuzzy state estimation. In 2006 SICE-ICASE International Joint Conference. 2006. p. 3800-3803. 4108422. (2006 SICE-ICASE International Joint Conference). https://doi.org/10.1109/SICE.2006.314634