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The basic operation of a fuzzy controller is similar to classical logical operations. Mapping is an important step in determining the membership. The mapping may be Gaussian, trapezoidal, cubic, etc. 162 AUTOMATION AND CONTROL EQUIPMENT forms the fuzzy rule base of the system. In order to infer the output, the composition rule of inference can be used: µB ( y) = maxx min[µA (x): µR (x, y)] (23) This means that given the fuzzy relationship of R between A and B, and the input of A is yЈ, the membership of the fuzzy output variable, B is yЈ.
RCP: room connection point. To make sure that a channel will meet the requirements of an application group, performance classes for channels are specified. By taking into account the requirements of the most demanding application for each channel characteristic, compatibility of generic cabling with any application is assured. ISO/IEC 11801:2000 (1) lists four copper channel classes for ICT, characterized by the upper frequency of the spectrum the channel is specified for, and by one optical class.
They are applied in the form of software supported by the appropriate hardware. Common mathematical packages, such as MATLAB, support 163 ANN design tools. The hardware implementation can be done by electronics such as Intel’s ETANN 80170 chip. Generally, the programmed commands determine the action to be accomplished by the automated system. These commands specify what should be achieved by the system and how the various components of the system must function to accomplish the desired result. The contents of the program is developed depending on the system, and it can vary from one automated system to another even if they are performing similar tasks.