1 publication

• Published Subscription 14 Sep 2015

  Dynamic system identification for looper tension control Using BPNN & Kalman Filtering

  By Vivek Dilip Bavdhane

  Abstract: System identification is an important area in control system. This paper discuss some of the reasons that causes the slow convergence of Back Propagation Neural Network (BPNN). This paper also comment on the effect of the number of neurons in the hidden layer when apply BPNN with Kalman Filtering to dynamic system identification for a looper tension control. BPNN is based on LMS, and uses steepest descent method to find …

  Published in International Journal of Electrical Power System and Technology · Vol. 1, Issue 1, 2015 · pp. 38–43 Read article →