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Improved neural dynamics for online Sylvester equations solving

Tutkimustuotosvertaisarvioitu

Standard

Improved neural dynamics for online Sylvester equations solving. / Chen, Ke.

julkaisussa: Information Processing Letters, Vuosikerta 116, Nro 7, 08.03.2016, s. 455–459.

Tutkimustuotosvertaisarvioitu

Harvard

Chen, K 2016, 'Improved neural dynamics for online Sylvester equations solving', Information Processing Letters, Vuosikerta. 116, Nro 7, Sivut 455–459. https://doi.org/10.1016/j.ipl.2016.03.004

APA

Chen, K. (2016). Improved neural dynamics for online Sylvester equations solving. Information Processing Letters, 116(7), 455–459. https://doi.org/10.1016/j.ipl.2016.03.004

Vancouver

Chen K. Improved neural dynamics for online Sylvester equations solving. Information Processing Letters. 2016 maalis 8;116(7):455–459. https://doi.org/10.1016/j.ipl.2016.03.004

Author

Chen, Ke. / Improved neural dynamics for online Sylvester equations solving. Julkaisussa: Information Processing Letters. 2016 ; Vuosikerta 116, Nro 7. Sivut 455–459.

Bibtex - Lataa

@article{0f2b81674e0b4e598b59bda2274bf356,
title = "Improved neural dynamics for online Sylvester equations solving",
abstract = "A novel implicit dynamic system together with its electronic implementation is firstly proposed and investigated for online solution of Sylvester equations. In view of the success of recently-proposed Zhang implicit dynamics, our proposed model is also designed in the implicit-dynamical fashion. Compared to the existing neural dynamics, i.e., conventional gradient explicit dynamics and Zhang implicit dynamics, our implicit dynamic system can achieve superior global exponential convergence performance. Computer simulation results demonstrate theoretical analysis of our proposed dynamic model for real-time solution of Sylvester equations.",
author = "Ke Chen",
year = "2016",
month = "3",
day = "8",
doi = "10.1016/j.ipl.2016.03.004",
language = "English",
volume = "116",
pages = "455–459",
journal = "Information Processing Letters",
issn = "0020-0190",
publisher = "Elsevier",
number = "7",

}

RIS (suitable for import to EndNote) - Lataa

TY - JOUR

T1 - Improved neural dynamics for online Sylvester equations solving

AU - Chen, Ke

PY - 2016/3/8

Y1 - 2016/3/8

N2 - A novel implicit dynamic system together with its electronic implementation is firstly proposed and investigated for online solution of Sylvester equations. In view of the success of recently-proposed Zhang implicit dynamics, our proposed model is also designed in the implicit-dynamical fashion. Compared to the existing neural dynamics, i.e., conventional gradient explicit dynamics and Zhang implicit dynamics, our implicit dynamic system can achieve superior global exponential convergence performance. Computer simulation results demonstrate theoretical analysis of our proposed dynamic model for real-time solution of Sylvester equations.

AB - A novel implicit dynamic system together with its electronic implementation is firstly proposed and investigated for online solution of Sylvester equations. In view of the success of recently-proposed Zhang implicit dynamics, our proposed model is also designed in the implicit-dynamical fashion. Compared to the existing neural dynamics, i.e., conventional gradient explicit dynamics and Zhang implicit dynamics, our implicit dynamic system can achieve superior global exponential convergence performance. Computer simulation results demonstrate theoretical analysis of our proposed dynamic model for real-time solution of Sylvester equations.

U2 - 10.1016/j.ipl.2016.03.004

DO - 10.1016/j.ipl.2016.03.004

M3 - Article

VL - 116

SP - 455

EP - 459

JO - Information Processing Letters

JF - Information Processing Letters

SN - 0020-0190

IS - 7

ER -