Further result on a dynamic recurrent neural-network-based adaptive observer for a class of nonlinear systems

Automatica

Volumn 41, Issue 12, 2005, Pages 2161-2162

  Huang, S N ^a   Tan, K K ^a   Lee, T H ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

Adaptive control; Neural networks; Nonlinear systems; Observer

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; LYAPUNOV METHODS; RECURRENT NEURAL NETWORKS; VECTORS;

OBSERVER; STRICTLY POSITIVE REAL (SPR);

NONLINEAR SYSTEMS;

EID: 27344435638     PISSN: 00051098     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.automatica.2005.07.003     Document Type: Article

References (2)

1. Y.H. Kim, F.L. Lewis, and C.T. Abdullah A dynamic recurrent neural-network-based adaptive observer for a class of nonlinear systems Automatica 33 8 1997 1539 1543
2. M. Ni, and M.J. Er Stability of linear systems with delayed perturbations: An LMI approach IEEE Transactions on Circuits and Systems: 1 49 1 2002 108 112