New delay-dependent robust stability and stabilization for uncertain T-S fuzzy time-delay systems under imperfect premise matching

Ze-jian Zhang , Xian-lin Huang , Xiao-jun Ban , Xiao-zhi Gao

Journal of Central South University ›› 2012, Vol. 19 ›› Issue (12) : 3415 -3423.

PDF
Journal of Central South University ›› 2012, Vol. 19 ›› Issue (12) : 3415 -3423. DOI: 10.1007/s11771-012-1423-5
Article

New delay-dependent robust stability and stabilization for uncertain T-S fuzzy time-delay systems under imperfect premise matching

Author information +
History +
PDF

Abstract

To alleviate the conservativeness of the stability criterion for Takagi-Sugeno (T-S) fuzzy time-delay systems, a new delay-dependent stability criterion was proposed by introducing a new augmented Lyapunov function with an additional triple-integral term, which was firstly used to derive the stability criterion for T-S fuzzy time-delay systems. By the same approach, the robust stability issue for fuzzy time-delay systems with uncertain parameters was also considered. On the other hand, in order to enhance the design flexibility, a new design approach for uncertain fuzzy time-delay systems under imperfect premise matching was also proposed, which allows the fuzzy controller to employ different membership functions from the fuzzy time-delay model. By the numerical examples, the proposed stability conditions are less conservative in the sense of getting larger allowable time-delay and obtaining smaller feedback control gains. For instance, when the allowable time-delay increases from 7.3 s to 12 s for an uncertain T-S fuzzy control system with time-delay, the norm of the feedback gains decreases from (34.299 2, 38.560 3) to (10.073 3, 11.349 0), respectively. Meanwhile, the effectiveness of the proposed design method was illustrated by the last example with the robustly stable curves of system state under the initial condition of x(0)=[3 −1]

Keywords

T-S fuzzy systems / time-delay systems / imperfect premise matching / stability / robust stability / linear matrix inequality (LMI) / stabilization

Cite this article

Download citation ▾
Ze-jian Zhang, Xian-lin Huang, Xiao-jun Ban, Xiao-zhi Gao. New delay-dependent robust stability and stabilization for uncertain T-S fuzzy time-delay systems under imperfect premise matching. Journal of Central South University, 2012, 19(12): 3415-3423 DOI:10.1007/s11771-012-1423-5

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

LiT., WuM., HeYong.. Lyapunov-Krasovskii functional based power system stability analysis in environment of WAMS [J]. Journal of Central South University of Technology, 2010, 17(4): 801-806

[2]

WangJ.-x., LiJ., RongLiang.. ARROW-WTCP: A fast transport protocol based on explicit congestion notification over wired/wireless networks [J]. Journal of Central South University of Technology, 2011, 18(3): 800-808

[3]

SunJ., LiuG.-p., ChenJ., ReesD.. Improved delay-range-dependent stability criteria for linear systems with time-varying delays [J]. Automatica, 2010, 46(2): 466-470

[4]

HienL. V., HaQ. P., PhatV. N.. Stability and stabilization of switched linear dynamic systems with time delay and uncertainties [J]. Applied Mathematics and Computation, 2009, 210(1): 223-231

[5]

ZhangX.-m., HanQ.-long.. A delay decomposition approach to delay-dependent stability for linear systems with time-varying delays [J]. Journal of Robust and Nonlinear Control, 2009, 19(7): 1922-1930

[6]

TakagiT., SugenoM.. Fuzzy identification of systems and its applications to modeling and control [J]. IEEE Transactions on Systems, Man, and Cybernetics, 1985, 15(1): 116-132

[7]

CaoY.Y., FrankP.M.. Analysis and synthesis of nonlinear time-delay system via fuzzy control approach [J]. IEEE Transactions on Fuzzy Systems, 2000, 8(2): 200-211

[8]

CaoY.Y., FrankP.M.. Stability analysis and synthesis of nonlinear time-delay systems via linear Takagi-Sugeno fuzzy models [J]. Fuzzy Sets and Systems, 2001, 124(2): 213-229

[9]

LienH. C.. Further results on delay-dependent robust stability of uncertain fuzzy systems with time-varying delay [J]. Chaos, Solitons and Fractals, 2006, 28(2): 422-427

[10]

ZhangB.-y., LamJ., XuS.-y., ShuZ.. Robust stabilization of uncertain T-S fuzzy time-delay systems with exponential estimates [J]. Fuzzy Sets and Systems, 2009, 160(2): 1720-1737

[11]

ZhaoY., GaoH.-j., LamJ., DuB.-z.. Stability and stabilization of delayed T-S fuzzy systems: a delay partitioning approach [J]. IEEE Transactions on Fuzzy Systems, 2009, 17(4): 750-762

[12]

LamH.K., LeungF.H.F.. Stability analysis of discrete-time fuzzy-model-based control systems with time-delay: Time delay independent approach [J]. Fuzzy Sets and Systems, 2008, 159(8): 990-1000

[13]

LinC., WangQ.-g., LeeT. H.. Delay-dependent LMI conditions for stability and stabilization of T-S fuzzy systems with bounded time-delay [J]. Fuzzy Sets and Systems, 2006, 157(9): 1229-1247

[14]

TianE.-g., PengC.. Delay-dependent stability analysis and synthesis of uncertain T-S fuzzy systems with time-varying delay [J]. Fuzzy Sets and Systems, 2006, 157(4): 544-559

[15]

LiuF., WuM., HeY., YokoyamaR.. New delay dependent stability criterion for T-S fuzzy systems with time-varying delay [J]. Fuzzy Sets and Systems, 2010, 161(5): 2033-2042

[16]

WuH.-n., LiH.-x.. New approach to delay-dependent stability analysis and stabilization for continuous-time fuzzy systems with time-varying delay [J]. IEEE Transactions on Fuzzy Systems, 2007, 15(3): 482-493

[17]

PengC., WenL.-y., YangJ.-quan.. On Delay-dependent Robust Stability Criteria for Uncertain T-S Fuzzy Systems with Interval Time-varying Delay [J]. International Journal of Fuzzy Systems, 2011, 13(1): 35-44

[18]

PengC., HanQ.-long.. Delay-range-dependent robust stabilization for uncertain T-S fuzzy control systems with interval time-varying delays [J]. Information Sciences, 2011, 181(19): 4287-4299

[19]

YoneyamaJ.. Robust stability and stabilization for uncertain Takagi-Sugeno fuzzy time-delay systems [J]. Fuzzy Sets and Systems, 2007, 158(2): 115-134

[20]

SunJ., LiuG.-p., ChenJ.. Delay-dependent stability and stabilization of neutral time-delay systems [J]. International Journal of Robust and Nonlinear Control, 2009, 19(12): 1364-1375

[21]

LAM H. K., LEUNG F. H. F., LMI-based stability and performance design of fuzzy control systems: Fuzzy models and controllers with different premises[C]// Proceeding of the International Conference on Fuzzy System, Vancouver, BC, Canada, 2006: 9599–9506.

[22]

LamH. K., NarimaniM.. Stability Analysis and Performance Design for Fuzzy-Model-Based Control System Under Imperfect Premise Matching [J]. IEEE Transactions on Fuzzy Systems, 2009, 17(4): 949-961

[23]

ZHANG Ze-jian, HUANG Xian-lin, BAN Xiao-jun, New LMIs-based stability conditions for fuzzy time-delay control systems[C]// Proceeding of the International Conference on Computational Sciences and Optimization, Yunnan, China, 2011: 939–942.

[24]

ZHANG Ze-jian, Huang Xian-lin, BAN Xiao-jun, New LMIs-based stability conditions for fuzzy time-delay control systems[C]// Proceeding of the International Conference on Computational Sciences and Optimization, Yunnan, China, 2011: 939–942.

[25]

BoydS., GhaouiL. E., FeronE.Linear Matrix Inequality in System and Control Theory [M], 1994Philadelphia, PASIAM28-29

[26]

PerersenI. R., HollotC. V.. A Riccati equation approach to the stabilization of uncertain linear systems [J]. Automatica, 1986, 22(4): 397-411

AI Summary AI Mindmap
PDF

102

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/