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Through a training board that allows us to control the temperature, all the used algorithms should present their best performances in this control process; therefore, our self-organized and online adaptive fuzzy logic controller (FLC) will be required to present great improvements in the control task and a real high control performance. Simulation results can show clearly that the new approach presented and tested in this work is very efficient. Thus, our adaptive and self-organizing FLC presents the best accuracy compared with the remaining used controllers, and, besides that, it can guarantee an important reduction of the power consumption during the control process.<\/jats:p>","DOI":"10.1155\/2013\/658145","type":"journal-article","created":{"date-parts":[[2013,7,1]],"date-time":"2013-07-01T17:01:58Z","timestamp":1372698118000},"page":"1-16","source":"Crossref","is-referenced-by-count":2,"title":["Innovative Strategy to Improve Precision and to Save Power of a Real-Time Control Process Using an Online Adaptive Fuzzy Logic Controller"],"prefix":"10.1155","volume":"2013","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2694-4790","authenticated-orcid":true,"given":"R.","family":"Lasri","sequence":"first","affiliation":[{"name":"Department of Computer Architecture & Computer Technology, University of Granada, 18071 Granada, 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