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模糊控制理论的发展应用与展望
引用本文:秦绪平,谭国俊. 模糊控制理论的发展应用与展望[J]. 控制工程, 2005, 0(Z2)
作者姓名:秦绪平  谭国俊
作者单位:中国矿业大学信电学院 江苏徐州221008(秦绪平),中国矿业大学信电学院 江苏徐州221008(谭国俊)
摘    要:介绍了模糊控制理论的发展概况及在许多领域应用进化过程。在此基础上,论述了模糊控制理论应用的一般特点。指出了模糊控制理论应用中需要解决的问题,单纯模糊控制在某些情况下,难以适应不同的运行状态,影响了控制效果。实际应用中需要将模糊控制或模糊推理思想与其他成熟的控制理论与方法结合起来应用,以达到更理想的控制效果。展望了模糊控制理论的发展方向。由于模糊控制技术是当今比较先进的控制技术,因此,它有着广阔的应用前景。

关 键 词:模糊控制  模糊理论  自适应控制  神经网络

Development and Prospect of Fuzzy Control Theory
QIN Xu-ping,TAN Guo-jun School of Electricity and Information,China University of Mining and Technology,Xuzhou ,China. Development and Prospect of Fuzzy Control Theory[J]. Control Engineering of China, 2005, 0(Z2)
Authors:QIN Xu-ping  TAN Guo-jun School of Electricity  Information  China University of Mining  Technology  Xuzhou   China
Affiliation:QIN Xu-ping,TAN Guo-jun School of Electricity and Information,China University of Mining and Technology,Xuzhou 221008,China
Abstract:Fuzzy control theory is one of the most advanced control theories.It has been used in many fields.The development and applications of fuzzy control theory are introduced in details. It focuses on the application of fuzzy control theory and so summarize its characteristics. It also point out the main problems of fuzzy control theory which need to be solved. Pure fuzzy control is unable to adapt to different operating conditions in some cases which harms control performance. Fuzzy control is often combined with control methods to obtain better control results. In the end it expatiates in details some research directions of fuzzy control theory.Fuzzy control theory has broad application prospects though it needs more detailed research.
Keywords:fuzzy control  fuzzy theory  adaptive control  neural network
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