Stability conditions of fuzzy systems and its application to structural and mechanical systems

被引:152
作者
Chen, Cheng-Wu [1 ]
机构
[1] Shu Te Univ, Dept Logist Management, Yen Chau 82445, Kaohsiung Cty, Taiwan
关键词
structural control; linear matrix inequality; fuzzy model;
D O I
10.1016/j.advengsoft.2005.12.002
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This paper provided the stability conditions and controller design for a class of structural and mechanical systems represented by Takagi-Sugeno (T-S) fuzzy models. In the design procedure of controller, parallel-distributed compensation (PDC) scheme was utilized to construct a global fuzzy logic controller by blending all local state feedback controllers. A stability analysis was carried out not only for the fuzzy model but also for a real mechanical system. Furthermore, this control problem can be reduced to linear matrix inequalities (LMI) problems by the Schur complements and efficient interior-point algorithms are now available in Matlab toolbox to solve this problem. A simulation example was given to show the feasibility of the proposed fuzzy controller design method. (C) 2006 Elsevier Ltd. All rights reserved.
引用
收藏
页码:624 / 629
页数:6
相关论文
共 19 条
[1]   THEORETICAL AND LINGUISTIC ASPECTS OF THE FUZZY LOGIC-CONTROLLER [J].
BRAAE, M ;
RUTHERFORD, DA .
AUTOMATICA, 1979, 15 (05) :553-577
[2]   Analysis and design for a class of complex control systems .2. Fuzzy controller design [J].
Cao, SG ;
Rees, NW ;
Feng, G .
AUTOMATICA, 1997, 33 (06) :1029-1039
[3]   Control of nonlinear structures using the fuzzy control approach [J].
Casciati, F ;
Faravelli, L ;
Yao, T .
NONLINEAR DYNAMICS, 1996, 11 (02) :171-187
[4]   FUZZY MAPPING AND CONTROL [J].
CHANG, SSL ;
ZADEH, LA .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1972, SMC2 (01) :30-&
[5]   Robustness design of nonlinear dynamic systems via fuzzy linear control [J].
Chen, BS ;
Tseng, CS ;
Uang, HJ .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 1999, 7 (05) :571-585
[6]  
Feng-Hsiag Hsiao, 2003, International Journal on Artificial Intelligence Tools (Architectures, Languages, Algorithms), V12, P117, DOI 10.1142/S0218213003001174
[7]  
Kickert W. J. M., 1978, Fuzzy Sets and Systems, V1, P29, DOI 10.1016/0165-0114(78)90030-1
[8]   Active control for a benchmark building under wind excitations [J].
Lu, LT ;
Chiang, WL ;
Tang, JP ;
Liu, MY ;
Chen, CW .
JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS, 2003, 91 (04) :469-493
[9]   LQG/LTR control methodology in active structural control [J].
Lu, LT ;
Chiang, WL ;
Tang, JP .
JOURNAL OF ENGINEERING MECHANICS-ASCE, 1998, 124 (04) :446-454
[10]   FUZZY IDENTIFICATION OF SYSTEMS AND ITS APPLICATIONS TO MODELING AND CONTROL [J].
TAKAGI, T ;
SUGENO, M .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1985, 15 (01) :116-132