Robust Stability Analysis of Fuzzy Neural Network with Delays | Zendy

Kaihong Zhao | Zendy; Yongkun Li | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Robust Stability Analysis of Fuzzy Neural Network with Delays

Author(s) -

Kaihong Zhao,

Yongkun Li

Publication year - 2009

Publication title -

mathematical problems in engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.262

H-Index - 62

eISSN - 1026-7077

pISSN - 1024-123X

DOI - 10.1155/2009/826908

Subject(s) - equilibrium point , stability (learning theory) , artificial neural network , fuzzy logic , mathematics , computer science , control theory (sociology) , mathematical optimization , artificial intelligence , machine learning , control (management) , differential equation , mathematical analysis

We investigate local robust stability of fuzzy neural networks (FNNs)with time-varying and S-type distributed delays. We derive some sufficient conditions forlocal robust stability of equilibrium points and estimate attracting domains of equilibriumpoints except unstable equilibrium points. Our results not only show local robuststability of equilibrium points but also allow much broader application for fuzzy neuralnetwork with or without delays. An example is given to illustrate the effectiveness ofour results

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research