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Perspectives of fuzzy systems and control

机译:模糊系统与控制的观点

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Although fuzzy control was initially introduced as a model-free control design method based on the knowledge of a human operator, current research is almost exclusively devoted to model-based fuzzy control methods that can guarantee stability and robustness of the closed-loop system. State-of-the-art techniques for identifying fuzzy models and designing model-based controllers are reviewed in this article. Attention is also paid to the role of fuzzy systems in higher levels of the control hierarchy, such as expert control, supervision and diagnostic systems. Open issues are highlighted and an attempt is made to give some directions for future research.
机译:尽管模糊控制最初是基于人类操作员的知识作为无模型控制设计方法而引入的,但是当前的研究几乎专门致力于基于模型的模糊控制方法,以确保闭环系统的稳定性和鲁棒性。本文介绍了用于识别模糊模型和设计基于模型的控制器的最新技术。还应注意模糊系统在高级控制层次中的作用,例如专家控制,监督和诊断系统。突出了未解决的问题,并尝试为将来的研究提供一些指导。

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