Aras, Ayse Cisel. <br/><br/>
An Adaptive Neuro-Fuzzy Architecture for Intelligent Control of a Servo System and its Experimental Evaluation. 
Ayse Cisel Aras, Erdal Kayacan, Yesim Oniz, Okyay Kaynak, Rahib Abiyev. 
 -  IEEE,  2010. 
<br/><br/> In this paper the development of an adaptive neuro-fuzzy architecture for the speed control of a servo system with nonlinear load is presented. The synthesis of the structure is described and a learning algorithm for the neuro-fuzzy control system is derived. The supervised learning algorithm is used to train the unknown coefficients of the system, and then the fuzzy rules of the neuro-fuzzy system are generated. A number of simulation studies are carried out, and the results are compared with those obtained with a PI controller tuned using desired time response characteristics. These and the experimental studies presented show that the neuro-fuzzy control system has a better control performance than the conventional PI controller. 
<br/><br/><label>ISBN: </label>978-1-4244-6391-6 
<br/><br/><label>Nat. Bib. Agency Control No.: </label>WOS:000295007800013 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Network<br/>Near East University Article<br/>Yakın Doğu Üniversitesi Makale
<br/><br/><label>LC Class. No.: </label>TK5105.5