Lyapunov function based fuzzy state estimator

Tzuu-Hseng S. Li, Chyi Cherng Lai

Research output: Contribution to journalConference articlepeer-review

3 Citations (Scopus)


A new application of fuzzy set theory to the state estimation problem is presented. The Lyapunov function here is utilized as a performance index to formulate the fuzzy inference rules. The proposed methodology not only has better state estimation in comparison with the traditional Kalman filter but the stability property is also guaranteed.

Original languageEnglish
Pages (from-to)497-500
Number of pages4
JournalProceedings - IEEE International Symposium on Circuits and Systems
Publication statusPublished - 1995 Jan 1
EventProceedings of the 1995 IEEE International Symposium on Circuits and Systems-ISCAS 95. Part 3 (of 3) - Seattle, WA, USA
Duration: 1995 Apr 301995 May 3

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering


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