Induced l2 Control of Discrete-Time Takagi-Sugeno Fuzzy Systems with Time-Varying Delays Via Dynamic Output Feedback*

被引:0
|
作者
Su, Xiaojie [1 ]
Shi, Peng [2 ,3 ,4 ]
Wu, Ligang [1 ]
Karimi, Hamid Reza [5 ]
Yang, Rongni [6 ]
机构
[1] Harbin Inst Technol, Space Control & Inertial Technol Res Ctr, Harbin, Peoples R China
[2] Univ Glamorgan, Dept Comp & Math Sci, Pontypridd CF37 1DL, M Glam, Wales
[3] Victoria Univ, Sch Sci & Engn, Melbourne, Vic, Australia
[4] Univ Adelaide, Sch Elect & Elect Engn, Adelaide, SA 5005, Australia
[5] Univ Agder, Fac Sci & Engn, Dept Engn, N-4898 Grimstad, Norway
[6] Shandong Univ, Sch Control Sci & Engn, Jinan 250061, Peoples R China
关键词
STABILITY ANALYSIS; NONLINEAR-SYSTEMS; ALGORITHM;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper is concerned with analyzing a novel model transformation of discrete-time Takagi-Sugeno (T-S) fuzzy systems with time-varying delays and applying it to dynamic output feedback (DOF) controller design. A new auxiliary model is proposed by employing a new approximation for time-varying delay state, and then delay partitioning method is used to analyze the scaled small gain of this auxiliary model. A sufficient condition on discrete-time T-S fuzzy systems with time-varying delays, which guarantees the corresponding closed-loop system to be asymptotically stable and has an induced l(2) disturbance attenuation performance, is derived by employing the scaled small gain theorem. Then the solvability condition for the induced l(2) DOF control is also established, by which the DOF controller can be found by solving a set of linear matrix inequalities (LMIs).
引用
收藏
页码:6199 / 6204
页数:6
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