Robust zeroing neural networks with two novel power-versatile activation functions for solving dynamic Sylvester equation

In this work, two robust zeroing neural network (RZNN) models are presented for online fast solving of the dynamic Sylvester equation (DSE), by introducing two novel power-versatile activation functions (PVAF), respectively. Differing from most of the zeroing neural network (ZNN) models activated by...

Celý popis

Podrobná bibliografie

Hlavní autoři:	Peng Zhou, Mingtao Tan
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Polish Academy of Sciences 2022-05-01
Edice:	Bulletin of the Polish Academy of Sciences: Technical Sciences
Témata:	recurrent neural network (rnn) zeroing neural network (znn) rznn fixed-time convergence
On-line přístup:	https://journals.pan.pl/Content/123162/PDF/2937_BPASTS_2022_70_3.pdf
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!