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Convergence analysis of a class of nonsmooth gradient systems
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Lu, Wenlian and Wang, Jun (2008) Convergence analysis of a class of nonsmooth gradient systems. IEEE Transactions on Circuits and Systems I: Regular Papers, 55 (11). pp. 3514-3527. doi:10.1109/TCSI.2008.925816 ISSN 1549-8328.
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Official URL: http://dx.doi.org/10.1109/TCSI.2008.925816
Abstract
In this paper, we present new results on convergence of a class of nonlinear dynamical systems modeled by the gradients of nonsmooth cost functions. This class of systems arises from neural-network research and can be regarded as a generalization of existing neural-network models. Using the recently developed Lstrokojasiewicz gradient inequality, the convergence analysis of this gradient-like differential inclusion is given. Without assuming the smoothness of the cost function or analyticity of the activation function, we prove the output convergence of the differential system. In addition, for the piecewise analytic activation function with positive first-order derivative, we prove the state convergence. Furthermore, we also discuss the relationship between the convergence rate and the location of terminal limit point. Numerical examples are provided to illustrate the theoretical results and present the goal-seeking capability of the systems.
Item Type: | Journal Article | ||||
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||
Journal or Publication Title: | IEEE Transactions on Circuits and Systems I: Regular Papers | ||||
Publisher: | IEEE | ||||
ISSN: | 1549-8328 | ||||
Official Date: | December 2008 | ||||
Dates: |
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Volume: | 55 | ||||
Number: | 11 | ||||
Page Range: | pp. 3514-3527 | ||||
DOI: | 10.1109/TCSI.2008.925816 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Restricted or Subscription Access |
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