Abstract
In this paper, the projective synchronization of neural networks with mixed time-varying delays and parameter mismatch is discussed. Due to parameter mismatch and projective factor, complete projective synchronization cannot be achieved. Therefore, a new weak projective synchronization scheme is proposed to ensure that coupled neural networks are in a state of synchronization with an error level. Several criteria are derived and the error level is estimated by applying a generalized Halanay inequality and matrix measure. Finally, a numerical example is given to verify the efficiencies of theoretical results.
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Chen, S., Cao, J. Projective synchronization of neural networks with mixed time-varying delays and parameter mismatch. Nonlinear Dyn 67, 1397–1406 (2012). https://doi.org/10.1007/s11071-011-0076-5
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DOI: https://doi.org/10.1007/s11071-011-0076-5