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The paper presents an intelligent method based of soft computing to control thermal processes. A fuzzy logic controller (FLC) is designed to control the temperature of an electric oven. The temperature control is based on a fuzzy learning algorithm with auto-tuning capabilities in order to get as performances, time response as short as possible, small overshoot and zero steady state error. The auto-tuning...
Fuzzy logic controllers (FLCs) utilize fuzzy logic to convert the linguistic control strategy based on expert knowledge into an automatic control strategy. The dynamic of nonlinear processes can be easy controlled using FLCs. The paper presents a method to design the structure of a fuzzy logic controller (FLC) based on decision tables. To achieve the proposed FLC the mathematical models of the nonlinear...
Look-up decisions tables are favorites in fuzzy control when a complex algorithm of fuzzy rules inference is an impediment for a real time application. The control values of look-up tables are fuzzy singletons in finite number. It is difficult to obtain the best fuzzy control performance in these conditions. The look-up tables can be assimilated to sparse fuzzy rule bases. A linear interpolation method...
Research undertaken for the behavior of “human expert” showed that it is specific to its highly nonlinear behavior, with the effects of anticipation, integration, prediction and adapting itself to the concrete conditions of operation. Control processes using fuzzy logic controllers from this point of view is more pragmatic and can be adapted to a much wider class of processes. This paper presents...
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