15 citations · 34 across the 18 of their papers we have counts for
7 papers · 1 filter
Symptom-Driven Personalized Proton Pump Inhibitors Therapy Using Bayesian Neural Networks and Model Predictive Control
Yutong Li, Ilya Kolmanovsky
Proton Pump Inhibitors (PPIs) are the standard of care for gastric acid disorders but carry significant risks when administered chronically at high doses. Precise long-term control…
Constrained reaction wheel desaturation and attitude control of spacecraft with four reaction wheels
Miguel Castroviejo-Fernandez, Ilya Kolmanovsky
The paper addresses a problem of constrained spacecraft attitude stabilization with simultaneous reaction wheel (RW) desaturation. The spacecraft has a reaction wheel array (RWA) c…
Scheduling Dosage of Proton Pump Inhibitors Using Constrained Optimization With Gastric Acid Secretion Model
Yutong Li, Nan Li, Anouck Girard +1
Dosage schedule of the Proton Pump Inhibitors (PPIs) is critical for gastric acid disorder treatment. In this paper, we develop a constrained optimization based approach for schedu…
On Complexity Bounds for the Maximal Admissible Set of Linear Time-Invariant Systems
Hamid R. Ossareh, Ilya Kolmanovsky
Given a dynamical system with constrained outputs, the maximal admissible set (MAS) is defined as the set of all initial conditions such that the output constraints are satisfied f…
Integrated Adaptive Control and Reference Governors for Constrained Systems with State-Dependent Uncertainties
Pan Zhao, Ilya Kolmanovsky, Naira Hovakimyan
This paper presents an adaptive reference governor (RG) framework for a linear system with matched nonlinear uncertainties that can depend on both time and states, subject to both…
Robust Action Governor for Uncertain Piecewise Affine Systems with Non-convex Constraints and Safe Reinforcement Learning
Yutong Li, Nan Li, H. Eric Tseng +3
The action governor is an add-on scheme to a nominal control loop that monitors and adjusts the control actions to enforce safety specifications expressed as pointwise-in-time stat…