摘要
本文研究了连续T-S模糊系统量化H_∞控制器的设计问题.主要目的是针对连续T-S模糊系统设计量化H_∞控制器,使该系统在闭环控制系统中,在量化误差的影响下渐进稳定并且满足给定的H_∞性能指标.具体来说,就是通过应用积分型Lyapunov函数得到保守性更低的稳定性分析条件,再通过有效的矩阵变换技术实现松弛变量的引入,从而得到保守性更低的量化H_∞控制器的设计条件.最后通过仿真算例验证了所提方法的有效性.
This paper investigates the problem of designing quantized H ∞ controller for continuous -time T - S fuzzy systems. Attention is focused on the design of a quantized H∞ controller such that the close - loop con- trol system is asymptotically stable with a prescribed H∞ pefformance with respect to the effect of quantization. More specifically, less conservative conditions are expressed by introducing more slack variables and using the fuzzy Lyapunov function. Finally, a numerical example is provided to show the effectiveness of the developed ap- proach.
作者
王东
吕启兴
WANG Dong(Experiment Management Center,Bohai University,Jinzhou 121013,China)
出处
《渤海大学学报（自然科学版）》
CAS
2018年第3期235-241,共7页
Journal of Bohai University:Natural Science Edition
基金
国家自然科学基金项目(No:61503038)
