Fuzzy Stabilization of Fuzzy Control Systems
Mohamed A. Mohamed, Jeena John
- 发表年份
- 2008
- 引用次数
- 2
- 访问权限
- 开放获取
摘要
This chapter presented a practical approach to stabilize fuzzy systems based on adaptive nonlinear feedback using a fuzzy stabilizer in the feedback loop. For this we needed to identify the nonlinearity range of the system. The fuzzy stabilizer is tuned so that the system nonlinearities lie in a bounded sector as delivered by using the circle criterion theory. Because of circle criterion’s graphical nature; the designer is given a physical feel for the system. The concept has been used to ensure stability of a car-like robot controller. In addition, the idea has been extended to stabilize MIMO systems based on the additively decomposition technique.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991