当前位置: X-MOL 学术J. Franklin Inst. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Event-triggered interval Type-2 T-S fuzzy control for nonlinear networked systems
Journal of the Franklin Institute ( IF 3.7 ) Pub Date : 2020-08-12 , DOI: 10.1016/j.jfranklin.2020.08.001
Qing Lu , Peng Shi , Ligang Wu , Huiyan Zhang

In this paper, an event-triggered disturbance attenuation and rejection scheme is proposed for nonlinear networked systems with limited bandwidth and multiple disturbances based on the interval type-2 Takagi-Sugeno fuzzy model. A fuzzy disturbance observer is constructed to estimate the disturbance generated by the exogenous system, and then such kind of disturbance can be rejected. Sufficient conditions are presented such that a fuzzy H controller can be designed to guarantee the stability of the resulting closed-loop system with a prescribed performance index, regardless of disturbances. An event-triggered control scheme is designed to reduce the frequency of the controller updating and thus save the network resources. A numerical example is given to demonstrate the validity of the new design methods presented.



中文翻译:

非线性网络系统的事件触发间隔2型TS模糊控制

本文基于区间2型Takagi-Sugeno模糊模型,提出了一种带宽受限,多重干扰的非线性网络系统的事件触发扰动衰减与抑制方案。构造了一个模糊干扰观测器来估计外源系统产生的干扰,然后可以拒绝这种干扰。充分条件被呈现以使得模糊ħ 控制器可以设计为在规定的性能指标下保证所得闭环系统的稳定性,而不受干扰的影响。设计一种事件触发的控制方案,以减少控制器更新的频率,从而节省网络资源。数值例子说明了所提出的新设计方法的有效性。

更新日期:2020-09-10
down
wechat
bug