DocumentCode
2639463
Title
Adaptive neural network backstepping design for a class of nonlinear output feedback systems
Author
Lijun Long ; Chengkang Xie
Author_Institution
Sch. of Math. & Syst. Sci., Southwest Univ., Chongqing
fYear
2008
fDate
10-12 Dec. 2008
Firstpage
1
Lastpage
5
Abstract
Robust adaptive neural network control and backstepping design are considered. An adaptive neural network controller is established for a uncertain nonlinear output feedback system. The controller regulates the output to a neighborhood of origin by properly choosing design parameters, and keeps all signals of the closed-loop bounded.
Keywords
adaptive control; closed loop systems; control system synthesis; feedback; neurocontrollers; nonlinear control systems; robust control; uncertain systems; backstepping design; closed-loop bounded; robust adaptive neural network control; uncertain nonlinear output feedback system; Adaptive control; Adaptive systems; Backstepping; Control systems; Neural networks; Nonlinear control systems; Output feedback; Programmable control; Robust control; Signal design;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems and Control in Aerospace and Astronautics, 2008. ISSCAA 2008. 2nd International Symposium on
Conference_Location
Shenzhen
Print_ISBN
978-1-4244-3908-9
Electronic_ISBN
978-1-4244-2386-6
Type
conf
DOI
10.1109/ISSCAA.2008.4776372
Filename
4776372
Link To Document