This paper focuses on a time-varying constrained nonconvex optimization problem, and considers the synthesis analysis of online regularized primal-dual gradient methods to track Karush--Kuhn--Tucker (KKT) trajectory. The proposed method is implemented in running fashion, sense that underlying problem changes during execution algorithms. In order study its performance, we first derive continuous...