Time-varying proximal neurodynamic models are introduced that guarantee fixed-time convergence to solutions of mixed variational inequalities under strong pseudomonotonicity and Lipschitz continuity, with explicit settling-time bounds and noise robustness.
Fixed-time gradien t dy- namics with time-varying coefficients for continuous-time o ptimiza- tion
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Fixed-Time Convergence of Time-Varying Neurodynamic Systems for Mixed Variational Inequalities
Time-varying proximal neurodynamic models are introduced that guarantee fixed-time convergence to solutions of mixed variational inequalities under strong pseudomonotonicity and Lipschitz continuity, with explicit settling-time bounds and noise robustness.