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20182022
most citedRegularized Identification with Internal Positivity Side-Information

2 citations · 2 across the 8 of their papers we have counts for

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9 papers · 1 filter

math.OC2022

An explicit dual control approach for constrained reference tracking of uncertain linear systems

Anilkumar Parsi, Andrea Iannelli, Roy S. Smith

A finite horizon optimal tracking problem is considered for linear dynamical systems subject to parametric uncertainties in the state-space matrices and exogenous disturbances. A s…

math.OC2021

Distributed Model Predictive Control of Buildings and Energy Hubs

Nicolas Lefebure, Mohammad Khosravi, Mathias Hudoba de Badyn +4

Model predictive control (MPC) strategies can be applied to the coordination of energy hubs to reduce their energy consumption. Despite the effectiveness of these techniques, their…

math.OC2021

Discrete-Time Linear-Quadratic Regulation via Optimal Transport

Mathias Hudoba de Badyn, Erik Miehling, Dylan Janak +5

In this paper, we consider a discrete-time stochastic control problem with uncertain initial and target states. We first discuss the connection between optimal transport and stocha…

math.OC2021

On Robustness of Kernel-Based Regularized System Identification

Mohammad Khosravi, Roy S. Smith

This paper presents a novel feature of the kernel-based system identification method. We prove that the regularized kernel-based approach for the estimation of a finite impulse res…

math.OC2021

Revisiting the Role of Euler Numerical Integration on Acceleration and Stability in Convex Optimization

Peiyuan Zhang, Antonio Orvieto, Hadi Daneshmand +2

Viewing optimization methods as numerical integrators for ordinary differential equations (ODEs) provides a thought-provoking modern framework for studying accelerated first-order…

math.OC2020

Convex Nonparametric Formulation for Identification of Gradient Flows

Mohammad Khosravi, Roy S. Smith

In this paper, we develop a nonparametric system identification method for the nonlinear gradient-flow dynamics. In these systems, the vector field is the gradient field of a poten…