Abstract
This paper is about an Expert Self-Learning Fuzzy Controller (ESLFC) in which the control policy can improve automatically by use of Fuzzy sets, expert system and pattern recognization techniques of Artificail Intellegence (AI). It can apply to real-time control of complex systems with nonlinearity, time-variant and uncertainty. Based on the combustion process control of an industrial boiler, a number of simulation experiments are carried out to prove its feasibility.
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