ABSTRACTThis thesis presents an online learning stable robust adaptive controller design for the chaos control of the brushless direct current (BLDC) motor. The proposed adaptive controller algorithm consists of a Wiener model-based controller with a nonlinear auto-regressive moving-average (NARMA) based artificial neural network (ANN), and a Hammerstein based plant model. The developed online learning closed-loop control system providing stability and robustness might be defined as an auto-regressive moving average (ARMA) based system identification problem with partially known parameters. Th ...Daha fazlası
6698 sayılı Kişisel Verilerin Korunması Kanunu kapsamında yükümlülüklerimiz ve çerez politikamız hakkında bilgi sahibi olmak için alttaki bağlantıyı kullanabilirsiniz.