Dynamic Output-Feedback Dissipative Control for T-S Fuzzy Systems With Time-Varying Input Delay and Output Constraints

被引:224
作者
Choi, Hyun Duck [1 ]
Ahn, Choon Ki [1 ]
Shi, Peng [2 ,3 ,4 ]
Wu, Ligang [5 ]
Lim, Myo Taeg [1 ]
机构
[1] Korea Univ, Sch Elect Engn, Seoul 136701, South Korea
[2] Harbin Engn Univ, Coll Automat, Harbin 150001, Peoples R China
[3] Victoria Univ, Coll Engn & Sci, Melbourne, Vic 8001, Australia
[4] Univ Adelaide, Sch Elect & Elect Engn, Adelaide, SA 5005, Australia
[5] Harbin Inst Technol, Res Inst Intelligent Control & Syst, Harbin 150001, Peoples R China
基金
中国国家自然科学基金; 新加坡国家研究基金会;
关键词
Active suspension system; dynamic output-feedback control; dynamic parallel distributed compensation (DPDC); (Q; S; R)-alpha-dissipativity; Takagi-Sugeno (T-S) fuzzy systems; time-varying delay; H-INFINITY CONTROL; SLIDING MODE CONTROL; DISTURBANCE ATTENUATION; ACTIVE SUSPENSIONS; NEURAL-NETWORKS; LINEAR-SYSTEMS; DESIGN; STABILIZATION;
D O I
10.1109/TFUZZ.2016.2566800
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper develops a new fuzzy dynamic output-feedback control scheme for Takagi-Sugeno (T-S) fuzzy systems with time-varying input delay and output constraints based on (Q, S, R)-alpha-dissipativity. The proposed controller, called a (Q, S, R)-alpha-dissipative output-feedback fuzzy controller, takes into consideration the abstract energy, storage function, and supply rate for the disturbance attenuation and provides a unified framework that can incorporate existing results for H-infinity and passivity controllers as special cases for T-S fuzzy systems with time-varying input delay and output constraints. A dynamic parallel distributed compensator is used to design the (Q, S, R)-alpha-dissipative output-feedback fuzzy controller to ensure the asymptotic stability and strict (Q, S, R)-alpha-dissipativity of closed-loop systems described by a T-S fuzzy model that satisfies some output constraints. By employing the reciprocally convex approach, a new set of delay-dependent conditions for the desired controller is formulated in terms of the linear matrix inequality. The effectiveness and the applicability of the proposed design techniques are validated by an example of control for active suspension systems for different road conditions.
引用
收藏
页码:511 / 526
页数:16
相关论文
共 55 条
[1]   L∞ performance of single and interconnected neural networks with time-varying delay [J].
Ahn, Choon Ki ;
Shi, Peng ;
Agarwal, Ramesh K. ;
Xue, Jing .
INFORMATION SCIENCES, 2016, 346 :412-423
[2]   Novel Results on Generalized Dissipativity of Two-Dimensional Digital Filters [J].
Ahn, Choon Ki ;
Shi, Peng ;
Karimi, Hamid Reza .
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2016, 63 (09) :893-897
[3]   Stochastic stability analysis for 2-D Roesser systems with multiplicative noise [J].
Ahn, Choon Ki ;
Wu, Ligang ;
Shi, Peng .
AUTOMATICA, 2016, 69 :356-363
[4]   Generalized Dissipativity Analysis of Digital Filters With Finite-Wordlength Arithmetic [J].
Ahn, Choon Ki ;
Shi, Peng .
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2016, 63 (04) :386-390
[5]   Receding Horizon Stabilization and Disturbance Attenuation for Neural Networks With Time-Varying Delay [J].
Ahn, Choon Ki ;
Shi, Peng ;
Wu, Ligang .
IEEE TRANSACTIONS ON CYBERNETICS, 2015, 45 (12) :2680-2692
[6]   Two-Dimensional Dissipative Control and Filtering for Roesser Model [J].
Ahn, Choon Ki ;
Shi, Peng ;
Basin, Michael V. .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2015, 60 (07) :1745-1759
[7]  
Boyd S., 1994, SIAM STUDIES APPL MA
[8]   A model reference adaptive control based method for actuator delay estimation in real-time testing [J].
Chen C. ;
Ricles J.M. .
Frontiers of Architecture and Civil Engineering in China, 2010, 4 (3) :277-286
[9]   Constrained H∞ control of active suspensions:: An LMI approach [J].
Chen, H ;
Guo, KH .
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2005, 13 (03) :412-421
[10]   Robust H∞ Fuzzy Output-Feedback Control With Multiple Probabilistic Delays and Multiple Missing Measurements [J].
Dong, Hongli ;
Wang, Zidong ;
Ho, Daniel W. C. ;
Gao, Huijun .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2010, 18 (04) :712-725