Delay-dependent exponential stability of delayed neural networks with time-varying delay

• Published in: IEEE transactions on circuits and systems. II, Express briefs Vol. 53; no. 7; pp. 553 - 557
• Main Authors: He, Yong, Wu, Min, She, Jin-Hua
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.07.2006; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Asymptotic stability; Circuits; Convergence; Criteria; Delay; Delay effects; Delay-dependent criterion; Educational programs; exponential stability; free-weighting matrix approach; Information science; Linear matrix inequalities; linear matrix inequality (LMI); Mathematical analysis; Mathematical models; Matrices; Neural networks; Neurons; Stability; Stability criteria

In this brief, free-weighting matrices are employed to express the relationship between the terms in the Leibniz-Newton formula; and based on that relationship, a new delay-dependent exponential-stability criterion is derived for delayed neural networks with a time-varying delay. Two numerical examp...