1 citations · 1 across the 1 of their papers we have counts for
3 papers
A Smoothed Augmented Lagrangian Method for Mathematical Programs with Vertical Complementarity Constraints
Jia Wang, Andreas Themelis, Panagiotis Patrinos
We propose a smoothed augmented Lagrangian method (ALM) for solving mathematical programs with vertical complementarity constraints (VCCs). The augmented Lagrangian function involv…
A Lasry-Lions envelope approach for mathematical programs with complementarity constraints
Jia Wang, Andreas Themelis, Ivan Markovsky +1
We propose a homotopy method for solving mathematical programs with complementarity constraints (CCs). The indicator function of the CCs is relaxed by the Lasry--Lions double envel…
Fast data-driven iterative learning control for linear system with output disturbance
Jia Wang, Leander Hemelhof, Ivan Markovsky +1
This paper studies data-driven iterative learning control (ILC) for linear time-invariant (LTI) systems with unknown dynamics, output disturbances and input box-constraints. Our ma…