Decentralized adaptive fuzzy control of large-scale nonaffine nonlinear systems by state and output feedback

被引：12
作者：
Huang, Yi-Shao [1 ,2 ]
Wu, Min [2 ]
He, Yong [2 ]
Yu, Ling-Li [2 ]
Zhu, Qi-Xin [3 ]
机构：
[1] Changsha Univ Sci & Technol, Minist Educ, Key Lab Highway Engn, Changsha 410004, Hunan, Peoples R China
[2] Cent S Univ, Sch Informat Sci & Engn, Changsha 410083, Hunan, Peoples R China
[3] E China Jiaotong Univ, Sch Elect & Elect Engn, Nanchang 330013, Peoples R China
来源：
NONLINEAR DYNAMICS | 2012年 / 69卷 / 04期
基金：
中国博士后科学基金; 中国国家自然科学基金;
关键词：
Large-scale nonlinear systems; Adaptive fuzzy control; High-gain observer (HGO); Singular; TRACKING CONTROL; NEURAL-CONTROL; SISO SYSTEMS; OBSERVER; INTERCONNECTIONS; STABILIZATION; NETWORKS; DESIGN; VSS;
D O I：
10.1007/s11071-012-0377-3
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
This paper develops two novel decentralized adaptive fuzzy control methods of large-scale nonaffine uncertain nonlinear systems. By using a fuzzy inference system and implicit function theorem, a decentralized direct adaptive state feedback fuzzy control algorithm is firstly presented for a class of large-scale nonaffine continuous-time systems. By using a high-gain observer to reconstruct the system states, an extension is made to a decentralized output feedback control of unmeasurable interactive nonaffine systems. The decentralized adaptive fuzzy control schemes via state and output feedback guarantee the stability of the closed-loop large-scale systems. The effectiveness of the developed approaches is demonstrated through simulation results of a platoon of vehicles within an automated highway system.
引用
收藏
页码：1665 / 1677
页数：13
相关论文
共 34 条
[1]   A separation principle for the stabilization of a class of nonlinear systems [J].
Atassi, AN ;
Khalil, HK .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1999, 44 (09) :1672-1687
[2]  
Chang YC, 2001, IEEE T FUZZY SYST, V9, P278, DOI 10.1109/91.919249
[3]   Direct adaptive fuzzy control for nonlinear systems with time-varying delays [J].
Chen, Bing ;
Liu, Xiaoping ;
Liu, Kefu ;
Shi, Peng ;
Lin, Chong .
INFORMATION SCIENCES, 2010, 180 (05) :776-792
[4]   Direct adaptive fuzzy control of nonlinear strict-feedback systems [J].
Chen, Bing ;
Liu, Xiaoping ;
Liu, Kefu ;
Lin, Chong .
AUTOMATICA, 2009, 45 (06) :1530-1535
[5]   Decentralized output-feedback neural control for systems with unknown interconnections [J].
Chen, Weisheng ;
Li, Junmin .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2008, 38 (01) :258-266
[6]   Coordinated decentralized adaptive output feedback control of interconnected systems [J].
Hovakimyan, N ;
Lavretsky, E ;
Yang, BJ ;
Calise, AJ .
IEEE TRANSACTIONS ON NEURAL NETWORKS, 2005, 16 (01) :185-194
[7]   Decentralized control design for large-scale systems with strong interconnections using neural networks [J].
Huang, SN ;
Tan, KK ;
Lee, TH .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2003, 48 (05) :805-810
[8]   Robust decentralized direct adaptive output feedback fuzzy control for a class of large-sale nonaffine nonlinear systems [J].
Huang, Yi-Shao ;
Wu, Min .
INFORMATION SCIENCES, 2011, 181 (11) :2392-2404
[9]   Decentralized adaptive output feedback fuzzy controller for a class of large-scale nonlinear systems [J].
Huang, Yi-Shao ;
Zhou, De-Qun .
NONLINEAR DYNAMICS, 2011, 65 (1-2) :85-101
[10]   Non-affine nonlinear adaptive control of decentralized large-scale systems using neural networks [J].
Karimi, Bahram ;
Menhaj, Mohammad Bagher .
INFORMATION SCIENCES, 2010, 180 (17) :3335-3347
1234