Global Exponential Stability of Almost Periodic Solution for A Large Class of Delayed Dynamical Systems

dc.creatorLu, Wenlian
dc.creatorChen, Tianping
dc.date2006-10-30
dc.date.accessioned2026-07-07T07:29:37Z
dc.date.available2026-07-07T07:29:37Z
dc.descriptionResearch of delayed neural networks with variable self-inhibitions, inter-connection weights, and inputs is an important issue. %In the real world, self-inhibitions, %inter-connection weights, and inputs should vary through time. In In this paper, we discuss a large class of delayed dynamical systems with almost periodic self-inhibitions, inter-connection weights, and inputs. This model is universal and includes delayed systems with time-varying delays, distributed delays as well as combination of both. We prove that under some mild conditions, the system has a unique almost periodic solution, which is globally exponentially stable. We propose a new approach, which is independent of existing theory concerning with existence of almost periodic solution for dynamical systems.
dc.identifierhttps://arxiv.org/abs/math/0610920
dc.identifierhttp://arxiv.org/abs/math/0610920
dc.identifierScience in China Ser. A Mathematics 2005 Vol. 48 No. 8 1015—1026
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/118178
dc.subjectDynamical Systems
dc.titleGlobal Exponential Stability of Almost Periodic Solution for A Large Class of Delayed Dynamical Systems
dc.typetext

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