8 citations · 28 across the 24 of their papers we have counts for
13 papers · 1 filter
A Computationally Governed Log-domain Interior-point Method for Model Predictive Control
Jordan Leung, Frank Permenter, Ilya Kolmanovsky
This paper introduces a computationally efficient approach for solving Model Predictive Control (MPC) reference tracking problems with state and control constraints. The approach c…
ROTEC: Robust to Early Termination Command Governor for Systems with Limited Computing Capacity
Mehdi Hosseinzadeh, Bruno Sinopoli, Ilya Kolmanovsky +1
A Command Governor (CG) is an optimization-based add-on scheme to a nominal closed-loop system. It is used to enforce state and control constraints by modifying reference commands.…
Reference Governor-Based Fault-Tolerant Constrained Control
Mehdi Hosseinzadeh, Ilya Kolmanovsky, Sanjoy Baruah +1
This paper presents a fault-tolerant control scheme for constrained linear systems. First, a new variant of the Reference Governor (RG) called At Once Reference Governor (AORG) is…
An Analysis of Closed-Loop Stability for Linear Model Predictive Control Based on Time-Distributed Optimization
Dominic Liao-McPherson, Terrence Skibik, Jordan Leung +2
Time-distributed Optimization (TDO) is an approach for reducing the computational burden of Model Predictive Control (MPC). When using TDO, optimization iterations are distributed…
A constraint-separation principle in model predictive control
Uroš Kalabić, Ilya Kolmanovsky
In this brief, we consider the constrained optimization problem underpinning model predictive control (MPC). We show that this problem can be decomposed into an unconstrained optim…
A Novel Approach for Optimal Trajectory Design with Multiple Operation Modes of Propulsion System, Part 2
Ehsan Taheri, John L. Junkins, Ilya Kolmanovsky +1
Equipping a spacecraft with multiple solar-powered electric engines (of the same or different types) compounds the task of optimal trajectory design due to presence of both real-va…