Oniz, Yesim. <br/><br/>
Spiking Neural Networks for the Control of a Servo System. 
Yesim Oniz, Okyay Kaynak, Rahib Abiyev.  
 -  IEEE,  2013. 
<br/><br/> 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. 
<br/><br/><label>Nat. Bib. Agency Control No.: </label>WOS:000324299300014 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Engineering<br/>Electrical & Electronic<br/>Near East University Article<br/>Yakın Doğu Üniversitesi Makale
<br/><br/><label>LC Class. No.: </label>TK146