Title
Global exponential stability of general A-monotone implicit fuzzy proximal dynamical systems in Banach spaces
Abstract
Abstract The purpose of this paper is to introduce the notion of general A-monotone operators in Banach spaces. Under some suitable conditions and using generalized proximal mapping technique, neural network technique and Gronwall’s inequality, a new class of general A-monotone implicit fuzzy proximal dynamical systems in Banach spaces are also proposed and analyzed through a recurrent neural network with a one-layer structure, and the existence of the solutions of the proximal dynamical systems is shown. Further, the global exponential stability of these dynamical systems is proved. The results presented in this paper improve and generalize the corresponding results in the literature.
Year
DOI
Venue
2017
10.1007/s00500-015-1995-8
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Keywords
Field
DocType
General A-monotone operator,Generalized proximal mapping technique,Generalized implicit fuzzy proximal dynamical system,Neural network technique,Existence and global exponential stability
Mathematical optimization,Fuzzy logic,Banach space,Recurrent neural network,Dynamical systems theory,Exponential stability,Operator (computer programming),Artificial neural network,Monotone polygon,Mathematics
Journal
Volume
Issue
ISSN
21
11
1432-7643
Citations 
PageRank 
References 
0
0.34
16
Authors
3
Name
Order
Citations
PageRank
Heng-you Lan1479.69
Juan J. Nieto255981.45
Yishun Cui331.10