Fuzzy adaptive control for a class of nonlinear systems
Fuzzy adaptive control for a class of nonlinear systems
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DOI：
10.1109/ccdc.2009.5195293
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发表时间：
2009-06
期刊：
影响因子：
--
通讯作者：
Jun-min Hu;Yin-he Wang;Xiao Wang
中科院分区：
文献类型：
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作者：
Jun-min Hu;Yin-he Wang;Xiao Wang
在本文中，提出了针对一类非线性系统的模糊自适应稳定控制方案。该方案使我们能够得出构成控制器的规则库以实现控制对象的规则库的更少的模糊规则。证明闭环系统基于Lyapunov函数渐近稳定。最后，该方案用于控制一个倒的摆系统。仿真结果表明，我们的方案比某些论文中所示的方案更有效，即使在系统输入的条件下，它也可以完成控制目的。
In this paper, a fuzzy adaptive stabilizing control scheme for a class of nonlinear systems is proposed. This scheme enables us to derive fewer fuzzy rules that constitute the rule base of the controller to achieve the control object. It is proved that the closed-loop system is asymptotically stable based on Lyapunov function. Finally, this scheme is applied to control a inverted pendulum system. The simulation results show that our scheme is more valid than the scheme shown in some papers, even under the condition of system input with some interferences, it also can complete control purposes.