82 citations · 486 across the 90 of their papers we have counts for
26 papers · 1 filter
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…
Reference Governor for Constrained Spacecraft Orbital Transfers
Simone Semeraro, Ilya Kolmanovsky, Emanuele Garone
The paper considers the application of feedback control to orbital transfer maneuvers subject to constraints on the spacecraft thrust and on avoiding the collision with the primary…
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.…
Continuous Optimization-Based Drift Counteraction Optimal Control: A Spacecraft Attitude Control Case Study
Sunbochen Tang, Nan Li, Robert A. E. Zidek +1
This paper presents a continuous optimization approach to DCOC and its application to spacecraft high-precision attitude control. The approach computes a control input sequence tha…
Command Governors with Inexact Optimization and without Invariance
Emanuele Garone, Ilya Kolmanovsky
Reference and command governors are add-on schemes that augment nominal closed-loop systems with the capability to enforce state and control constraints. They do this by monitoring…
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…
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…
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…
A Novel Approach for Optimal Trajectory Design with Multiple Operation Modes of Propulsion System, Part 1
Ehsan Taheri, John L. Junkins, Ilya Kolmanovsky +1
Efficient performance of a number of engineering systems is achieved through different modes of operation - yielding systems described as "hybrid", containing both real-valued and…
Sensitivity-based Warmstarting for Nonlinear Model Predictive Control with Polyhedral State and Control Constraints
Dominic Liao-McPherson, Marco M. Nicotra, Asen L. Dontchev +2
Model predictive control (MPC) is of increasing interest in applications for constrained control of multivariable systems. However, one of the major obstacles to its broader use is…
An analytical safe approximation to joint chance-constrained programming with additive Gaussian noises
Nan Li, Ilya Kolmanovsky, Anouck Girard
We propose a safe approximation to joint chance-constrained programming where the constraint functions are additively dependent on a normally-distributed random vector. The approxi…
Time Distributed Optimization for Model Predictive Control: Stability, Robustness, and Constraint Satisfaction
Dominic Liao-McPherson, Marco Nicotra, Ilya Kolmanovsky
Time distributed optimization is an implementation strategy that can significantly reduce the computational burden of model predictive control by exploiting its robustness to incom…
FBstab: A Stabilized Semismooth Quadratic Programming Algorithm with Applications in Model Predictive Control
Dominic Liao-McPherson, Ilya Kolmanovsky
This paper introduces the proximally stabilized Fischer-Burmeister method (FBstab); a new algorithm for convex quadratic programming that synergistically combines the proximal poin…
A Semismooth Predictor Corrector Method for Real-Time Constrained Parametric Optimization with Applications in Model Predictive Control
Dominic Liao-McPherson, Marco Nicotra, Ilya Kolmanovsky
Real-time optimization problems are ubiquitous in control and estimation, and are typically parameterized by incoming measurement data and/or operator commands. This paper proposes…
Optimal Strategies for Disjunctive Sensing and Control
Richard L Sutherland, Ilya V Kolmanovsky, Anouck R Girard +2
A disjunctive sensing and actuation problem is considered in which the actuators and sensors are prevented from operating together over any given time step. This problem is motivat…
A Regularized and Smoothed Fischer-Burmeister Method for Quadratic Programming with Applications to Model Predictive Control
Dominic Liao-McPherson, Mike Huang, Ilya Kolmanovsky
This paper considers solving convex quadratic programs (QPs) in a real-time setting using a regularized and smoothed Fischer-Burmeister method (FBRS). The Fischer-Burmeister functi…
Attitude Control of a 2U Cubesat by Magnetic and Air Drag Torques
Richard Sutherland, Ilya Kolmanovsky, Anouck Girard
This paper describes the development of a magnetic attitude control subsystem for a 2U cubesat. Due to the presence of gravity gradient torques, the satellite dynamics are open-loo…
Constrained Spacecraft Relative Motion Planning Exploiting Periodic Natural Motion Trajectories and Invariance
Gregory R. Frey, Christopher D. Petersen, Frederick A. Leve +2
Spacecraft relative motion planning is concerned with the design and execution of maneuvers relative to a nominal target. These types of maneuvers are frequently utilized in missio…
MPC on manifolds with an application to the control of spacecraft attitude on SO(3)
Uroš Kalabić, Rohit Gupta, Stefano Di Cairano +2
We develop a model predictive control (MPC) design for systems with discrete-time dynamics evolving on smooth manifolds. We show that the properties of conventional MPC for dynamic…