Article ID Journal Published Year Pages File Type
412905 Neurocomputing 2010 8 Pages PDF
Abstract

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.

Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
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