DocumentCode :
1166439
Title :
Exponential stability of globally projected dynamic systems
Author :
Gao, Xing-Bao
Author_Institution :
Dept. of Math., Shaanxi Normal Univ., China
Volume :
14
Issue :
2
fYear :
2003
fDate :
3/1/2003 12:00:00 AM
Firstpage :
426
Lastpage :
431
Abstract :
In this paper, we further analyze and prove the stability and convergence of the dynamic system proposed by Friesz et al.(1994), whose equilibria solve the associated variational inequality problems. Two sufficient conditions are provided to ensure the asymptotic stability of this system with a monotone and asymmetric mapping by means of an energy function. Meanwhile this system with a monotone and gradient mapping is also proved to be asymptotically stable using another energy function. Furthermore, the exponential stability of this system is also shown under strongly monotone condition. Some obtained results improve the existing ones and the given conditions can be easily checked in practice. Since this dynamic system has wide applications, the obtained results are significant in both theory and applications.
Keywords :
asymptotic stability; convergence; variational techniques; asymmetric mapping; asymptotic stability; convergence; energy function; exponential stability; globally projected dynamic systems; gradient mapping; monotone; optimization; sufficient conditions; variational inequality; Asymptotic stability; Circuits; Convergence; Linear programming; Lyapunov method; Power generation economics; Quadratic programming; Stability analysis; Sufficient conditions; Transportation;
fLanguage :
English
Journal_Title :
Neural Networks, IEEE Transactions on
Publisher :
ieee
ISSN :
1045-9227
Type :
jour
DOI :
10.1109/TNN.2003.809409
Filename :
1189639
Link To Document :
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