TY - GEN
T1 - ℋ- adaptive observer design and parameter identification for a class of nonlinear fractional-order systems
AU - Ndoye, Ibrahima
AU - Voos, Holger
AU - Laleg-Kirati, Taous-Meriem
AU - Darouach, Mohamed
N1 - KAUST Repository Item: Exported on 2020-10-01
PY - 2014/12
Y1 - 2014/12
N2 - In this paper, an adaptive observer design with parameter identification for a nonlinear system with external perturbations and unknown parameters is proposed. The states of the nonlinear system are estimated by a nonlinear observer and the unknown parameters are also adapted to their values. Sufficient conditions for the stability of the adaptive observer error dynamics are derived in terms of linear matrix inequalities. Simulation results for chaotic Lorenz systems with unknown parameters in the presence of external perturbations are given to illustrate the effectiveness of our proposed approach. © 2014 IEEE.
AB - In this paper, an adaptive observer design with parameter identification for a nonlinear system with external perturbations and unknown parameters is proposed. The states of the nonlinear system are estimated by a nonlinear observer and the unknown parameters are also adapted to their values. Sufficient conditions for the stability of the adaptive observer error dynamics are derived in terms of linear matrix inequalities. Simulation results for chaotic Lorenz systems with unknown parameters in the presence of external perturbations are given to illustrate the effectiveness of our proposed approach. © 2014 IEEE.
UR - http://hdl.handle.net/10754/594144
UR - http://ieeexplore.ieee.org/document/7040477/
UR - http://www.scopus.com/inward/record.url?scp=84988220913&partnerID=8YFLogxK
U2 - 10.1109/cdc.2014.7040477
DO - 10.1109/cdc.2014.7040477
M3 - Conference contribution
SN - 9781467360906
SP - 6927
EP - 6932
BT - 53rd IEEE Conference on Decision and Control
PB - Institute of Electrical and Electronics Engineers (IEEE)
ER -