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A method of predicting illegal activities in the area of responsibility of State Border seized areas using fuzzy logic is developed. The novelty of the technique is that the author proposed fuzzy model tuning procedures using immune optimization algorithms and determine the parameters of input variables. Using this technique makes it possible to take into consideration during the forecasting quality...
Tuning membership functions parameters of fuzzy logic controllers (FLC) has proven to be an effective method in improving the performance of this type of controllers. However, simulations usually require a considerable amount of time to optimize the membership functions parameters. In this paper a new methodology is proposed to optimize the performance of the FLC. The FLC in this paper is simply designed...
Fuzzy logic is wildly used in many fields in the recent years. It is also the theoretic base of fuzzy control. A novel fuzzy state space representation and implementation method is prompted in this paper. The new method employs the concepts of state space which achieved great success in the modern control theory and uses matrix to represent fuzzy models including the fuzzification, inference mechanism,...
The VHDL-AMS based fuzzy logic controller for movement control systems is discussed here. The designs have been carried out in the digital domain with HDL. The basic components of the fuzzy logic controller are designed using VHDL-AMS. The proposed work focuses on control of speed with respect to input parameter such as Alignment & distance with triangular membership functions. This is beneficial...
In order to realization electronic parts product appearance quality detection control, one kind of processor based on the intelligent knowledge automatic extraction and system intelligence modeling was presented. In the processor, wavelet-fuzzy technique and neural network technique are combined. Uses the fuzzy wavelet extraction image feature, and wavelet function is used as fuzzy membership function...
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