Solving quaternion nonsymmetric algebraic Riccati equations through zeroing neural networks
Many variations of the algebraic Riccati equation (ARE) have been used to study nonlinear system stability in the control domain in great detail. Taking the quaternion nonsymmetric ARE (QNARE) as a generalized version of ARE, the time-varying QNARE (TQNARE) is introduced. This brings us to the main...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
AIMS Press
2024-01-01
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Series: | AIMS Mathematics |
Subjects: | |
Online Access: | https://www.aimspress.com/article/doi/10.3934/math.2024281?viewType=HTML |