A nonconvex function activated noise-tolerant neurodynamic model aided with Fischer-Burmeister function for time-varying quadratic programming in the presence of noises.

•Two ZNN-type models are proposed for TVQPPs with equality and inequality constraints, which removes convex condition of activation function.•An universal GNTZNNM-NAF framework is reconstructed from a control-based perspective for TVQPPs with equality and inequality constraints with different noises.•Global convergence and strong robustness of ZNN-type models are analyzed in detail.•Theoretical results demonstrate that the residual errors of ZNN-type models globally converge to zero even under different measurement noises.