The main objective of this paper is to prove the great advantage that brings our novel approach to the intelligent control area. A set\r\nof various types of intelligent controllers have been designed to control the temperature of a room in a real-time control process in\r\norder to compare the obtained results with each other.Through a training board that allows us to control the temperature, all the\r\nused algorithms should present their best performances in this control process; therefore, our self-organized and online adaptive\r\nfuzzy logic controller (FLC) will be required to present great improvements in the control task and a real high control performance.\r\nSimulation results can show clearly that the new approach presented and tested in this work is very efficient.Thus, our adaptive and\r\nself-organizing FLC presents the best accuracy compared with the remaining used controllers, and, besides that, it can guarantee\r\nan important reduction of the power consumption during the control process.
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