Exponential stability of delayed bi-directional associative memory networks
Applied Mathematics and Computation
IEEE Transactions on Circuits and Systems Part I: Regular Papers
High-order neural network structures for identification of dynamical systems
IEEE Transactions on Neural Networks
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In this paper, the uniformly boundedness and uniformly ultimately boundedness of high-order neural networks with time-varying delays are studied. Proper Lyapunov functionals and some analytic techniques are employed to derive the sufficient conditions under which the networks proposed are uniformly bounded and uniformly ultimately bounded. The results are shown to improve the results derived in [1] (Arik, 2004). Some examples are given to illustrate the correctness of our results.