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Methodology for Evolving Fuzzy Kalman Filter Identification
Danúbia Soares Pires,Ginalber Luiz de Oliveira Serra 제어·로봇·시스템학회 2019 International Journal of Control, Automation, and Vol.17 No.3
A methodology based on the smart combination of evolving fuzzy clustering and OKID (Observer/Kalman Filter Identification) algorithm, is proposed. The evolving fuzzy version of OKID algorithm is formulatedfor adjusting parameters and structure of the fuzzy Kalman filter, from experimental data. Experimentalresults from states and outputs estimation applied to online identification of a 2DoF helicopter show the efficiencyof the proposed methodology.