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Efficient finite-time convergent and varying-parameter ZNN scheme for solving TVCQP with image fusion denoising and UR5 robotic arm control applications
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DOI：10.1016/j.cnsns.2026.110494.png)
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Abstract
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• An efficient finite-time convergent varying-parameter ZNN is newly proposed for linear equality-constrained time-varying complex convex QP. • Modulus-phase angle mapping is adopted to handle complex errors without real-imaginary separation, which reduces computational burden. • Two nonlinear activation functions and error-driven varying-parameter are designed to realize finite-time convergence and noise suppression. • Theoretical proofs guarantee global stability and bounded finite-time convergence of the developed EFTCVPZNN. • Applications including image fusion denoising and UR5 robotic arm tracking demonstrate the superiority and practicability of the method.
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