Fuzzy fundamentals: this orderly design procedure can save time and help prevent problems in the development of fuzzy logic systems

Article Abstract:

Fuzzy logic, one of the most successful technologies for developing sophisticated control systems, is a way to easily represent analog processes on a digital computer. The power and flexibility of fuzzy logic rests on its subjectivity, in that control statements are written in terms of imprecise ideas of what constitutes states of the variable. It is appropriate to use fuzzy logic when one or more of the control variables are continuous, when a mathematical model of the process either does not exist or is difficult to encode and when high ambient noise levels must be handled. The values of a fuzzified input execute all the rules in the knowledge repository that as part of their premise have the fuzzified input. The four steps of the design cycle include defining the model's functional and operational characteristics, defining the control surfaces, defining the behavior of the control surfaces and determining the method of defuzzification for solution spaces.

Analysis, Technology, Digital communications, Control equipment, Applications, Digital Communication, Analog Communications

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Adaptive fuzzy systems: by reorganizing themselves internally as appropriate, these fuzzy control systems can function within a changing external world

Article Abstract:

Designers are finding that the inclusion of adaptive control in their fuzzy logic arrangements leads to systems capable of adjusting to environmental changes. The power of adaptive systems stems from their ability to be modified and extended as well as their ability to learn and explain their reasoning. Such systems are very robust, because of the balance they strike between learned responsiveness and explicit human knowledge. Fuzzy logic systems cannot adapt to gradual changes in their environments, although they can adjust their behavior from one execution of the rules to the next. Adaptive fuzzy logic systems adjust to time- or process-phased conditions and to the changes the supporting system controls as well. Adaptive fuzzy logic systems are discussed in detail.

Research, Systems analysis, Fuzzy logic, Fuzzy systems, Adaptive control, System Design, Scientific Research, Adaptability

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