A cognitive map-fuzzy logic controller model: Experiments on control objectives sensibility

J. L. Gonzalez V, L. T. Aguilar, O. Castillo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A hybrid model of Cognitive Map and Mamdani type Fuzzy Logic Controller (CM-FLC) is presented; Cognitive Map portion of the system generates FLC design online using data from empirical sources, it also uses measured variable data to characterized controller performance in order to generate FLC fine-tuning, producing adaptive control behavior. Model sensitivity to designer specified control objectives is studied; simulations are presented to show model robustness to these empirically specified parameters under different levels of control.

Original languageEnglish
Title of host publication2008 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2008
DOIs
StatePublished - 2008
Externally publishedYes
Event2008 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2008 - New York City, NY, United States
Duration: 19 May 200822 May 2008

Publication series

NameAnnual Conference of the North American Fuzzy Information Processing Society - NAFIPS

Conference

Conference2008 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2008
Country/TerritoryUnited States
CityNew York City, NY
Period19/05/0822/05/08

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