Mixed delay dependent stability of high-order neural networks based on a weak coupling LMI set

Minghao Li, Wuneng Zhou, Ziwei Ni, Mingjun Wang

Abstract


This paper deals with the problem of discrete and distributed time-delays exponential stability for deterministic and uncertain stochastic high-order neural networks. The concept of a parameter weak coupling linear matrix inequality set (PWCLMIS) is developed. New results are derived in terms of PWCLMIS. Large mixed time-delays can be obtained by using this approach. Furthermore, these results are more general than some previous existence results. Two numerical examples are given to show the merit of the approach.


doi:10.1017/S144618110900039X



DOI: http://dx.doi.org/10.21914/anziamj.v51i0.1601



Remember, for most actions you have to record/upload into this online system
and then inform the editor/author via clicking on an email icon or Completion button.
ANZIAM Journal, ISSN 1446-8735, copyright Australian Mathematical Society.