TY  - GEN
AU  - Oniz,Yesim
TI  - Spiking Neural Networks for the Control of a Servo System
AV  - TK146 
PY  - 2013///
PB  - IEEE
KW  - Engineering
KW  - Electrical & Electronic
KW  - Near East University Article
KW  - Yakın Doğu Üniversitesi Makale
N2  - This paper presents the design of a Spiking Neural Network (SNN) structure for control applications and evaluates its performance on a servo system. The design of SNN is performed using Spike Response Model (SRM). A gradient algorithm is applied for learning of SNN. The coding and decoding is applied for converting real numbers into spikes. A number of different load conditions including nonlinear and time-varying ones are used to investigate the performance of the proposed control algorithm on a laboratory setup that regulates the speed of a DC motor. It is seen that the control structure proposed has the ability to regulate the servo system around the set point signal in the presence of load disturbances
UR  - http://library.neu.edu.tr:2048/login?url=http://dx.doi.org/10.1109/ICMECH.2013.6518517
ER  -