Design and analysis of fuzzy schedulers using fuzzy Lyapunov synthesis

Michael Margaliot*, Gideon Langholz

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

Abstract

Recently, the authors suggested a new approach to the design of fuzzy control rules. The method, referred to as fuzzy Lyapunov synthesis, extends classical Lyapunov synthesis to the domain of `computing with words', and allows the systematic, instead of heuristic, design and analysis of fuzzy controllers given linguistic information about the plant. In this paper, we use the fuzzy Lyapunov synthesis method to design and analyze the rule-base of a fuzzy scheduler. We show that fuzzy rules, previously suggested based on heuristics, can be derived systematically and, therefore, that the entire process can be automated. This may lead to a novel `computing with words' algorithm: the input is linguistic information concerning the `plant' and the `control' objective, and the output is a suitable fuzzy rule-base.

Original languageEnglish
Pages207-211
Number of pages5
StatePublished - 1999
EventProceedings of the 1999 3rd International Conference on Knowledge-Based Intelligent Information Engineering Systems (KES '99) - Adelaide, Aust
Duration: 31 Aug 19991 Sep 1999

Conference

ConferenceProceedings of the 1999 3rd International Conference on Knowledge-Based Intelligent Information Engineering Systems (KES '99)
CityAdelaide, Aust
Period31/08/991/09/99

Fingerprint

Dive into the research topics of 'Design and analysis of fuzzy schedulers using fuzzy Lyapunov synthesis'. Together they form a unique fingerprint.

Cite this