Abstract
In this paper, the passivity-based approach is used to derive a tuning algorithm for a class of dynamic neural networks. Several stability properties, such as passivity, asymptotic stability, input-to-state stability and bounded input-bounded output stability, are guaranteed in certain senses.
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Schedule a callMore From: IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications
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