Global Robust Stability Criteria for Interval Delayed Neural Networks Via an LMI Approach

IEEE Transactions on Circuits and Systems II: Express Briefs

Volumn 53, Issue 9, 2006, Pages 901-905

  Li, Chuandong ^a   Liao, Xiaofeng ^a  

^a CHONGQING UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ASYMPTOTIC STABILITY; COMPUTER SIMULATION; CONVERGENCE OF NUMERICAL METHODS; LINEAR MATRIX INEQUALITIES; MATLAB; STABILITY CRITERIA;

CONVERGENCE RATE; INTERVAL DELAYED NEURAL NETWORKS (IDNN);

NEURAL NETWORKS;

EID: 34047152747     PISSN: 15497747     EISSN: 15583791     Source Type: Journal    
DOI: 10.1109/TCSII.2006.880335     Document Type: Article

References (5)

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3. X. Liao and J. Wang, “Global and robust stability of interval Hopfield neural networks with time-varying delays,” Int. J. Neural Syst., vol. 13, no. 2, pp. 171–182, 2003.
4. S. Arik, “Global robust stability of delayed neural networks,” IEEE Trans. Circuits Syst. I, Fundam. Theory Appl., vol. 50, no. 1, pp. 156–160, Jan. 2003.
5. D. Li, Matrix Theory and Its Applications (in Chinese). Chongqing, China: Chongqing Univ. Press, 1988.