TY  - JOUR
T1  - GENERALIZED MODELING PRINCIPLES OF A NONLINEAR SYSTEM WITH A DYNAMIC FUZZY NETWORK
AU  - Konar, A.Ferit
AU  - Oysal, Yusuf
PY  - 2012
DA  - January
JF  - IU-Journal of Electrical & Electronics Engineering
PB  - İstanbul University-Cerrahpasa
WT  - DergiPark
SN  - 1303-0914
SP  - 727
EP  - 734
VL  - 3
IS  - 1
LA  - en
AB  - Generalized modeling principles of a nonlinear system with a dynamic fuzzy network (DFN)- a network with unconstrained connectivity and with dynamic fuzzy processing units called 'feurons', have been given. DFN model has been trained both in open loop and closed loop forms to satisfy these principles. Several system trajectories with a PRBS input have been used for open loop training. DFN model obtained from open loop training was used in a closed loop training with an extended Kalman filter (EKF) in an observer design. For gradient computations adjoint sensitivity method has been used.
UR  - https://dergipark.org.tr/en/pub/iujeee/issue//116878
L1  - https://dergipark.org.tr/en/download/article-file/99131
ER  -