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This paper investigates the passivity problem for uncertain neural networks with time-varying delays. By constructing proper Lyapunov functionals and using some analytic techniques, a new condition is given to ensure the passivity of the uncertain neural networks with time-varying delays. The passivity condition is expressed in terms of linear matrix inequality (LMI), which can be easily solved by...
This brief considers the problem of passivity analysis for neural networks with both time-varying delays and norm-bounded parameter uncertainties. For two types of time-varying delays, delay-dependent passivity conditions are derived, respectively. These conditions are expressed in terms of linear matrix inequalities. An example is provided to show the less conservatism of the proposed conditions.
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