Fixed-Time Convergent Gradient Neural Network for Solving Online Sylvester Equation

This paper aims at finding a fixed-time solution to the Sylvester equation by using a gradient neural network (GNN). To reach this goal, a modified sign-bi-power (msbp) function is presented and applied on a linear GNN as an activation function. Accordingly, a fixed-time convergent GNN (FTC-GNN) mod...

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Bibliografski detalji

Glavni autor:	Zhiguo Tan
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2022-08-01
Serija:	Mathematics
Teme:	gradient neural network Sylvester equation activation function fixed-time convergence
Online pristup:	https://www.mdpi.com/2227-7390/10/17/3090
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