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Efficient zeroing neural networks with dynamic adaptive coefficient and variable-exponent activation for time-varying generalized Sylvester equations

Published Online: 2026-01-07

Published Print: 2026-01

Authors

Zhao, Jiangchuan

Zhang, Yanjun
Funding

Funding for this research was provided by:

Science and Technology Research Program of Chongqing Municipal Education Commission (KJQN202401164)

Science and Technology Research Program of Chongqing Municipal Education Commission (KJQN202401164)

Natural Science Foundation of China (12471349 and 12401490)

Natural Science Foundation of Chongqing, China (CSTB2024NSCQ-LZX0136)

Chongqing University of Technology Research Startup Funding (0101230623)
License Information

Text and Data Mining valid from 2026-01-01

Version of Record valid from 2026-01-01
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Article History

Received: 6 May 2025

Revised: 14 July 2025

Accepted: 1 November 2025

First Online: 7 January 2026

Declarations

:

: Not Applicable

: The authors declare no competing interests.

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