14 March 2013 Criteria for passivity of uncertain neural networks with time-varying delay
Author Affiliations +
Proceedings Volume 8768, International Conference on Graphic and Image Processing (ICGIP 2012); 87680T (2013) https://doi.org/10.1117/12.2010654
Event: 2012 International Conference on Graphic and Image Processing, 2012, Singapore, Singapore
Abstract
This paper deals with the delay-dependent passivity problem for neural networks with norm-bounded parameter uncertainties and time-varying delay. Some new delay-dependent criteria ensuring delayed neural networks to be passive are derived with the aid of the Leibniz-Newton formula. By exploiting free-weighting matrix (relaxation matrix) approach and an inequality technique, we essentially remove the requirement of Lipschitz condition on neuron activation functions and rigorous assumption on the derivative of the time-varying delay to be less than one.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xuyang Lou, Xuyang Lou, Huibin Zhu, Huibin Zhu, Baotong Cui, Baotong Cui, } "Criteria for passivity of uncertain neural networks with time-varying delay", Proc. SPIE 8768, International Conference on Graphic and Image Processing (ICGIP 2012), 87680T (14 March 2013); doi: 10.1117/12.2010654; https://doi.org/10.1117/12.2010654
PROCEEDINGS
9 PAGES


SHARE
RELATED CONTENT


Back to Top