Characterization of time-invariant network elements

Lam, Ying-Fai

doi:10.1016/0016-0032(74)90085-4

Search citation statements

Order By: Relevance

Paper Sections

Select...

Introduction1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2013

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Since then, finite time stability was intensively investigated, see, for example, Refs. [17][18][19]. Investigation of finite time stability was also carried out on fractional order systems, see, for instance, Refs.…”

Section: Introductionmentioning

confidence: 99%

Finite-Time Stability of Fractional-Order Neural Networks with Delay

Wu¹,

Hei²,

Chen³

2013

Commun. Theor. Phys.

111

View full text Add to dashboard Cite

Finite-time stability of a class of fractional-order neural networks is investigated in this paper. By Laplace transform, the generalized Gronwall inequality and estimates of Mittag-Leffler functions, sufficient conditions are presented to ensure the finite-time stability of such neural models with the Caputo fractional derivatives. Furthermore, results about asymptotical stability of fractional-order neural models are also obtained.

show abstract

Section: Introductionmentioning

confidence: 99%