82 citations · 486 across the 90 of their papers we have counts for
10 papers · 1 filter
Constrained Control for Autonomous Spacecraft Rendezvous: Learning-Based Time Shift Governor
Taehyeun Kim, Robin Inho Kee, Ilya Kolmanovsky +1
This paper develops a Time Shift Governor (TSG)-based control scheme to enforce constraints during rendezvous and docking (RD) missions in the setting of the Two-Body problem. As a…
CIKAN: Constraint Informed Kolmogorov-Arnold Networks for Autonomous Spacecraft Rendezvous using Time Shift Governor
Taehyeun Kim, Anouck Girard, Ilya Kolmanovsky
The paper considers a Constrained-Informed Neural Network (CINN) approximation for the Time Shift Governor (TSG), which is an add-on scheme to the nominal closed-loop system used t…
Safe Adaptive Cruise Control Under Perception Uncertainty: A Deep Ensemble and Conformal Tube Model Predictive Control Approach
Xiao Li, Anouck Girard, Ilya Kolmanovsky
Autonomous driving heavily relies on perception systems to interpret the environment for decision-making. To enhance robustness in these safety critical applications, this paper co…
Newton Methods in Generalized Nash Equilibrium Problems with Applications to Game-Theoretic Model Predictive Control
Mushuang Liu, Ilya Kolmanovsky
We prove input-to-state stability (ISS) of perturbed Newton-type methods for generalized equations arising from Nash equilibrium (NE) and generalized NE (GNE) problems. This ISS pr…
Time Shift Governor for Constrained Control of Spacecraft Orbit and Attitude Relative Motion in Bicircular Restricted Four-Body Problem
Taehyeun Kim, Ilya Kolmanovsky, Anouck Girard
This paper considers constrained spacecraft rendezvous and docking (RVD) in the setting of the Bicircular Restricted Four-Body Problem (BCR4BP), while accounting for attitude dynam…
Autonomous Driving With Perception Uncertainties: Deep-Ensemble Based Adaptive Cruise Control
Xiao Li, H. Eric Tseng, Anouck Girard +1
Autonomous driving depends on perception systems to understand the environment and to inform downstream decision-making. While advanced perception systems utilizing black-box Deep…
Data-Driven Predictive Control with Adaptive Disturbance Attenuation for Constrained Systems
Nan Li, Ilya Kolmanovsky, Hong Chen
In this paper, we propose a novel data-driven predictive control approach for systems subject to time-domain constraints. The approach combines the strengths of H-infinity control…
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…
Nonlinear Model Predictive Detumbling of Small Satellites with a Single-axis Magnetorquer
Kota Kondo, Ilya Kolmanovsky, Yasuhiro Yoshimura +3
Various actuators are used in spacecraft to achieve attitude stabilization, including thrusters, momentum wheels, and control moment gyros. Small satellites, however, have stringen…
Less Conservative Robust Reference Governors and Their Applications
Miguel Castroviejo-Fernandez, Huayi Li, Andrés Cotorruelo +2
The applications of reference governors to systems with unmeasured set-bounded disturbances can lead to conservative solutions. This conservatism can be reduced by estimating the d…