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Spiking Neural Networks for the Control of a Servo System. (Oniz, Yesim.)
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Spiking Neural Networks for the Control of a Servo System.
Author:
 Oniz, Yesim. Search Author in Amazon Books

Publisher:
IEEE,
Edition:
 2013.
Classification:
 TK146
URL:
http://library.neu.edu.tr:2048/login?url=http://dx.doi.org/10.1109/ICMECH.2013.6518517
Detailed notes
    - 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.
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NEU Grand LibraryOnline (TK146 .S65 2013)
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