Intelligent Control In Industries
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Abstract
Intelligent control takes a radically different approach to the control of industrial processes and plants from conventional control. The knowledge and experience of human operators constitutes the basis for this new approach to control engineering for which computational intelligence provides the theoretical foundation. Traditionally, intelligent control has embraced classical control theory, neural networks, fuzzy logic, classical AI, and a wide variety of search techniques (such as genetic algorithms and others).In this paper we summarize the potential and some limitation of intelligent control and we attempt to address the questions on how, where, when and under what conditions can intelligent control be applied in practice.
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Keywords: Fuzzy System, AI, Control, Machine, Operator , Logic, Process, Plant
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