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Sugeno模糊模型的辨识与控制
引用本文:李少远,王群仙,李焕芝,陈增强,袁著祉.Sugeno模糊模型的辨识与控制[J].自动化学报,1999,25(4):488-492.
作者姓名:李少远  王群仙  李焕芝  陈增强  袁著祉
作者单位:1.河北工业大学自动化系,天津;
摘    要:提出了一种新的Sugeno模糊模型辨识算法和对非线性系统进行并行化设计的方 法.在Sugeno模糊模型辨识中,应用模糊聚类方法可将其前提结构和结论参数的辨识分开进 行,减少了计算量;对于非线性系统的控制,Sugeno模糊模型实际上是动态系统的局部线性 化,可采用并行设计的方法设计控制器,然后通过模糊推理得到全局控制量.最后通过倒立摆 系统的控制说明了本文算法的有效性.

关 键 词:模糊控制    Sugeno模糊模型    系统辨识    非线性系统控制
收稿时间:1997-10-5
修稿时间:1997-10-05

IDENTIFICATION AND CONTROL BASED ON SUGENO'S FUZZY MODEL
LI Shaoyuan,WANG Qunxian,LI Huanzhi,CHEN Zengqiang,YUAN Zhuzhi.IDENTIFICATION AND CONTROL BASED ON SUGENO''S FUZZY MODEL[J].Acta Automatica Sinica,1999,25(4):488-492.
Authors:LI Shaoyuan  WANG Qunxian  LI Huanzhi  CHEN Zengqiang  YUAN Zhuzhi
Affiliation:1.Department of Automation,Hebei University of Technology,Tianjin;Department of Computer and System Science,Nankai University,Tianjin
Abstract:A new identification method of Sugeno's fuzzy model and parallel design for nonlinear system control are presented in this paper. For Sugeno's system identification, it is possible to separate the premise identification from the consequential identification using fuzzy cluster to simplify the calculation. In fact, the Sugeno's fuzzy model is a local linear model of the dynamical nonlinear control system, A parallel design method is proposed, and the total control law can be obtained by fuzzy inference. An inverted pendulum system control example is given to show the effectiveness.
Keywords:Fuzzy control  Sugeno's fuzzy model  system identification  nonlinear system control  
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