Robust Controllability of T-S Fuzzy-Model-Based Control Systems With Parametric Uncertainties

被引:23
|
作者
Chen, Shinn-Horng [1 ]
Ho, Wen-Hsien [2 ]
Chou, Jyh-Horng [3 ]
机构
[1] Natl Kaohsiung Univ Appl Sci, Dept Mech Engn, Kaohsiung 80778, Taiwan
[2] Kaohsiung Med Univ, Dept Med Informat Management, Kaohsiung 80708, Taiwan
[3] Natl Kaohsiung First Univ Sci & Technol, Inst Syst Informat & Control, Kaohsiung 811, Taiwan
关键词
Elemental parameter uncertainties; robust controllability; robust stability; Takagi-Sugeno (T-S) fuzzy model; QUADRATIC-OPTIMAL-CONTROL; STABILITY-ROBUSTNESS; SUPERVISORY CONTROL; TIME-DELAY; DESIGN; STABILIZATION; GAIN;
D O I
10.1109/TFUZZ.2009.2030670
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The robust controllability problem for the Takagi Sugeno (T-S) fuzzy-model-based control systems is studied in this paper. Under the assumption that the nominal T-S fuzzy-model-based control systems are locally controllable (i.e., each fuzzy rule of the nominal T-S fuzzy-model-based control systems has a full row rank for its controllability matrix), a sufficient condition is proposed to preserve the assumed property when the parameter uncertainties are added into the nominal T-S fuzzy-model-based control systems. The proposed sufficient condition can provide the explicit relationship of the bounds on parameter uncertainties to preserve the assumed property. Besides, a robustly global controllability condition and the related robustly global stabilizability condition of the uncertain T-S fuzzy-model-based control systems are also presented in this paper. A nonlinear mass-spring damper mechanical system with parameter uncertainties is given as an example to illustrate the application of the proposed sufficient conditions.
引用
收藏
页码:1324 / 1335
页数:12
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