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
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;
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
DOI :
10.1109/ISSCAA.2008.4776372
