%0 Journal Article
%T ANFIS
%A Ajit Kumar
%A Ajoy Kanti Ghosh
%J Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering
%@ 2041-3025
%D 2019
%R 10.1177/0954410018791621
%X In this paper, aerodynamic parameters have been estimated using neuro-fuzzy-based novel approach (ANFIS-Delta). ANFIS-Delta is an extension of a feed-forward neural network based Delta method. This method augments the philosophies of an adaptive neuro-fuzzy inference system (ANFIS) in the Delta method. The current work studies the comparison of ANFIS-Delta estimated results with the existing methods using the flight data gathered on the Hansa-3 research aircraft at IIT Kanpur and also, demonstrates the efficacy of the algorithm on DLR HFB-320 aircraft data. Further, the robustness of the ANFIS-Delta is examined using simulated data with known measurement noise of various strength and estimated parameters are compared with the wind tunnel extracted aerodynamic parameters
%K ANFIS-Delta
%K Delta method
%K flight data
%K fuzzy inference system
%K parameter estimation
%U https://journals.sagepub.com/doi/full/10.1177/0954410018791621