Journal
NEUROCOMPUTING
Volume 73, Issue 7-9, Pages 1324-1331Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.neucom.2009.12.019
Keywords
State estimation; Neural networks; Time-varying delay; Linear matrix inequalities (LMIs)
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Funding
- National Natural Science Foundation of PR China [60850004]
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In this paper, the state estimation problem is investigated for continuous-time neural networks with time-varying delay through available output measurements. By constructing more effective Lyapunov functionals, and combining with Jensen integral inequality or free-weighting matrix approach, several less conservative sufficient conditions for the existence of state estimator are derived in terms of linear matrix inequalities (LMIs). Finally, a numerical example is presented to demonstrate the effectiveness and the reduced conservatism of proposed results. (C) 2010 Elsevier B.V. All rights reserved.
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