21 citations · 29 across the 4 of their papers we have counts for
4 papers
Input-to-State Stability of Newton Methods for Generalized Equations in Nonlinear Optimization
Torbjørn Cunis, Ilya Kolmanovsky
We show that Newton methods for generalized equations are input-to-state stable with respect to disturbances such as due to inexact computations. We then use this result to obtain…
Input-to-State Stability of a Bilevel Proximal Gradient Descent Algorithm
Torbjørn Cunis Ilya Kolmanovsky
This paper studies convergence properties of inexact iterative solution schemes for bilevel optimization problems. Bilevel optimization problems emerge in control-aware design opti…
Feasibility Governor for Linear Model Predictive Control
Terrence Skibik, Dominic Liao-McPherson, Torbjørn Cunis +2
This paper introduces the Feasibility Governor (FG): an add-on unit that enlarges the region of attraction of Model Predictive Control by manipulating the reference to ensure that…
A Feasibility Governor for Enlarging the Region of Attraction of Linear Model Predictive Controllers
Dominic Liao-McPherson, Terrence Skibik, Torbjørn Cunis +2
This paper proposes a method for enlarging the region of attraction of Linear Model Predictive Controllers (MPC) when tracking piecewise-constant references in the presence of poin…