Decentralised indirect adaptive output feedback fuzzy H∞ tracking design for a class of large-scale nonlinear systems

被引:10
作者
Huang, Yi-Shao [1 ,2 ]
Huang, Zhong-Xiang [1 ]
Zhou, De-Qun [2 ]
Chen, Xiao-Xin [3 ]
Zhu, Qi-Xin [4 ]
Yang, Hui [4 ]
机构
[1] Changsha Univ Sci & Technol, Sch Traff & Transportat Engn, Changsha 410114, Hunan, Peoples R China
[2] Nanjing Univ Aeronaut & Astronaut, Coll Econ & Management, Nanjing 210016, Peoples R China
[3] Jiangxi Univ Finance & Econ, Sch Informat Technol, Nanchang 330013, Peoples R China
[4] E China Jiatong Univ, Sch Elect & Elect Engn, Nanchang 330013, Peoples R China
基金
中国国家自然科学基金;
关键词
large-scale systems; decentralised control; nonlinear systems; output feedback; fuzzy control; H-infinity tracking performance; SISO SYSTEMS; NEURAL CONTROL; OBSERVER; CONTROLLER; NETWORKS; ORDER; VSS;
D O I
10.1080/00207721.2010.487949
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A novel decentralised indirect adaptive output feedback fuzzy controller with a compensation controller and an H-infinity tracking controller is presented for a class of uncertain large-scale nonlinear systems in this article. The compensator adaptively compensates for interconnections between subsystems as well as mismatched errors, while the H-infinity controller suppresses the effect of external disturbances. Based upon the combination of fuzzy inference systems, a state observer, H-infinity tracking technique and the strictly positive real condition, the proposed overall observer-based decentralised algorithm guarantees not only asymptotical tracking of reference trajectories but also an arbitrary small attenuation level of the unmodelled error dynamics including the disturbances on the tracking control. Simulation results substantiate the effectiveness of the proposed scheme.
引用
收藏
页码:180 / 191
页数:12
相关论文
共 30 条
[1]  
[Anonymous], ROBUST ADAPTIVE CONT
[2]  
Chang YC, 2001, IEEE T FUZZY SYST, V9, P278, DOI 10.1109/91.919249
[3]  
Chen BS, 1996, IEEE T FUZZY SYST, V4, P32, DOI 10.1109/91.481843
[4]   Stability analysis and decentralized control of a class of complex dynamical networks [J].
Duan, Zhisheng ;
Wang, Jinzhi ;
Chen, Guanrong ;
Huang, Lin .
AUTOMATICA, 2008, 44 (04) :1028-1035
[5]   Neural-network control of nonaffine nonlinear system with zero dynamics by state output feedback [J].
Ge, SS ;
Zhang, J .
IEEE TRANSACTIONS ON NEURAL NETWORKS, 2003, 14 (04) :900-918
[6]   State observer based indirect adaptive fuzzy tracking control [J].
Ho, HF ;
Wong, YK ;
Rad, AB ;
Lo, WL .
SIMULATION MODELLING PRACTICE AND THEORY, 2005, 13 (07) :646-663
[7]   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
[8]   Decentralized direct adaptive output feedback fuzzy H a tracking design of large-scale nonaffine nonlinear systems [J].
Huang, Yi-Shao ;
Zhou, De-Qun ;
Chen, Xiaoxin .
NONLINEAR DYNAMICS, 2009, 58 (1-2) :153-167
[9]  
Huang YS, 2009, J SYST ENG ELECTRON, V20, P790
[10]   New stable adaptive fuzzy approach to control uncertain nonlinear SISO systems [J].
Khaber, F. ;
Hamzaoui, A. ;
Zehar, K. ;
Essounbouli, N. .
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2006, 37 (07) :437-445