Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
412905 | Neurocomputing | 2010 | 8 Pages |
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
Authors
Yonggang Chen, Weiping Bi, Wenlin Li, Yuanyuan Wu,