Stable fault-tolerant adaptive fuzzy/neural control for a turbine engine
作者： Yixin Diao , K.M. Passino
DOI: 10.1109/87.918902
关键词:
摘要: Stimulated by the growing demand for improving reliability and performance of systems, fault-tolerant control has been receiving significant attention since its goal is to detect occurrence faults achieve satisfactory system in presence faults. To develop an intelligent system, we begin constructing a design model using hierarchical learning structure form Takagi-Sugeno fuzzy systems. Afterwards, scheme designed based on stable adaptive fuzzy/neural control, where online capabilities are used capture unknown dynamics caused Finally, effectiveness proposed methods studied extensive analysis zero asymptotic tracking abilities both indirect direct cases, "component level model" simulation General Electric XTE46 turbine engine.
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ohio-state.edu 参考文章(34)
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