Details

Autor(en) / Beteiligte

• Ji, Yuejiang
• Lv, Lixin
• Zhu, Quanmin
• Quanmin Zhu

Titel

Two Identification Methods for a Nonlinear Membership Function

Ist Teil von

• Complexity (New York, N.Y.), 2021, Vol.2021 (1)

Ort / Verlag

Hoboken: Hindawi

Erscheinungsjahr

2021

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• This paper proposes two parameter identification methods for a nonlinear membership function. An equation converted method is introduced to turn the nonlinear function into a concise model. Then a stochastic gradient algorithm and a gradient-based iterative algorithm are provided to estimate the unknown parameters of the nonlinear function. The numerical example shows that the proposed algorithms are effective.