A Cognitive Map-Fuzzy Logic Controller model: Experiments on control objectives sensibility

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.