A Noise-Resilient Discrete-Time Zeroing Dynamics Approach to Equality-Constrained Time-Varying Quadratic Programming
This paper investigates the discrete-time solution of time-varying quadratic programming (TVQP) problems with linear equality constraints in noisy environments. Starting from the Karush-Kuhn-Tucker conditions, a perturbation-suppressed zeroing neural dynamics model is established to describe the online evolution of the...