82 citations · 486 across the 90 of their papers we have counts for
6 papers · 2 filters
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…