TY - GEN
T1 - Robust adaptive observer design for uncertain systems with bounded disturbances
AU - Stepanyan, Vahram
AU - Hovakimyan, Naira
PY - 2005
Y1 - 2005
N2 - This paper presents a robust adaptive observer design methodology for a class of uncertain nonlinear systems in the presence of time-varying unknown parameters and non-vanishing disturbances. Using the universal approximation property of radial basis function neural networks and the adaptive bounding technique the developed observer achieves asymptotic convergence of state estimation error to zero, while ensuring boundedness of parameter errors. A comparative simulation study is presented by the end.
AB - This paper presents a robust adaptive observer design methodology for a class of uncertain nonlinear systems in the presence of time-varying unknown parameters and non-vanishing disturbances. Using the universal approximation property of radial basis function neural networks and the adaptive bounding technique the developed observer achieves asymptotic convergence of state estimation error to zero, while ensuring boundedness of parameter errors. A comparative simulation study is presented by the end.
UR - http://www.scopus.com/inward/record.url?scp=33845728868&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33845728868&partnerID=8YFLogxK
U2 - 10.1109/CDC.2005.1583414
DO - 10.1109/CDC.2005.1583414
M3 - Conference contribution
AN - SCOPUS:33845728868
SN - 0780395689
SN - 9780780395688
T3 - Proceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC '05
SP - 7750
EP - 7755
BT - Proceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC '05
T2 - 44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC '05
Y2 - 12 December 2005 through 15 December 2005
ER -