节点文献
模糊聚类辨识算法
The Fuzzy Cluster Identification Algorithm
【摘要】 采用模糊输入聚类算法来辨识系统的模型 ,通过两个模糊聚类准则函数求得聚类中心和模糊规则数 ,然后求出各个子空间动态模型 ,再用隶属函数光滑地把他们连接成一个全局动态模糊模型 .这种模型可以转化成状态空间模型 ,从而进行控制器的设计和稳定性分析
【Abstract】 This paper identifies the model with fuzzy input type cluster algorithm. Firstly, get the fuzzy cluster center and fuzzy rule numbers with solving two fuzzy cluster objective function, then get every fuzzy local dynamic model, at last, use the membership functions to smoothly connect the local models together to form a global system model. This kind of fuzzy model can be transformed into the state space so that many stability analysis methods and controller design can be realized.
- 【文献出处】 控制理论与应用 ,Control Theory & Applications , 编辑部邮箱 ,2001年02期
- 【分类号】TP273.4
- 【被引频次】50
- 【下载频次】375