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Global stability of cellular neural networks with constant and variable delays

✍ Scribed by Xue Mei Li; Li Hong Huang; Huiyan Zhu

Publisher
Elsevier Science
Year
2003
Tongue
English
Weight
138 KB
Volume
53
Category
Article
ISSN
0362-546X

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✦ Synopsis

This paper gives new conditions ensuring global asymptotic stability and global exponential stability for cellular neural networks with constant delay and variable delay, respectively. These conditions are derived by using the essence of piecewise linearity of the output function of cellular neural networks and by constructing Lyapunov functions and functionals. Furthermore, these conditions are signiΓΏcantly weaker than those given in existing literature.

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