TY - GEN
T1 - Adaptive feedback control for a class of uncertain nonlinear systems with dead-zone
AU - Chen, Mou
AU - Mei, Rong
AU - Chen, Wen Hua
PY - 2008
Y1 - 2008
N2 - In this paper, a robust adaptive feedback controller is proposed based on backstepping method and neural network for a class of uncertain nonlinear systems with deadzone. The subsystem uncertainty is approximated using radial basis function (RBF) neural network and weight value update law is given for approximating the subsystem uncertainty. Based on the output of the neural network, the robust adaptive control scheme is presented with backstepping method. The designed controller can not only guarantee robust stability of the uncertain nonlinear system, but also make it has L2-gain performance index which less than or equal to γ > 0.
AB - In this paper, a robust adaptive feedback controller is proposed based on backstepping method and neural network for a class of uncertain nonlinear systems with deadzone. The subsystem uncertainty is approximated using radial basis function (RBF) neural network and weight value update law is given for approximating the subsystem uncertainty. Based on the output of the neural network, the robust adaptive control scheme is presented with backstepping method. The designed controller can not only guarantee robust stability of the uncertain nonlinear system, but also make it has L2-gain performance index which less than or equal to γ > 0.
UR - http://www.scopus.com/inward/record.url?scp=52449096117&partnerID=8YFLogxK
U2 - 10.1109/ICICIC.2008.111
DO - 10.1109/ICICIC.2008.111
M3 - Conference article published in proceeding or book
AN - SCOPUS:52449096117
SN - 9780769531618
T3 - 3rd International Conference on Innovative Computing Information and Control, ICICIC'08
BT - 3rd International Conference on Innovative Computing Information and Control, ICICIC'08
T2 - 3rd International Conference on Innovative Computing Information and Control, ICICIC'08
Y2 - 18 June 2008 through 20 June 2008
ER -