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In recent years, fuzzy rule-based systems have been widely and successfully applied to many control domains [2, 3, 4]. From a theoretical point of view, fuzzy logic systems were proven as universal approximators of any nonlinear continuous function on a compact set to arbitrary accuracy [11, 17, 20]. Basically, a set of linguistic control rules is the kernel of a fuzzy inference system, which provides a approximate reasoning algorithm to convert expertise-oriented linguistic control strategies.
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