Stability and controller design for T-S fuzzy discrete-time systems with time-varying delay in the state

被引:0
作者
Silva, L. F. P. [1 ]
Leite, V. J. S. [1 ,2 ]
Castelan, E. B. [3 ]
Lopes, A. N. D. [1 ]
机构
[1] Dept Mech Engn, Campus Divinopolis CEFET MG,R Alvares Azevedo 400, BR-35503822 Divnopolis, MG, Brazil
[2] PPGEL CEFET MG, Divnopolis, MG, Brazil
[3] Univ Fed Santa Catarina, Dept Automat & Syst, PPGEAS DAS CTC UFSC, BR-88040900 Florianopolis, SC, Brazil
来源
2018 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE) | 2018年
关键词
T-S fuzzy discrete-time systems; time-varying delay in the states; Lyapunov-Krasovskii fuzzy function; LMIs; ROBUST STABILITY; STABILIZATION;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We propose delay dependent convex conditions for stability analysis and synthesis of stabilizing fuzzy state feedback controllers for Takagi-Sugeno (T-S) fuzzy discrete-time systems with time-varying delay in the state. The delay is considered limited by upper and lower values. The proposed conditions are formulated in terms of linear matrix inequalities (LMIs) yielding efficient numerical behavior. Additionally, the design control law dismiss the real time knowledge of the delay, simplifying the controller implementation. Moreover, the proposed synthesis conditions can lead to less conservative design as it is illustrate by means of three numerical examples. Some recent conditions found in the literature are used to establish a numerical comparison with our approach.
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页数:7
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