activity
20122021
most citedConvex computation of the maximum controlled invariant set for polynomial control systems

5 citations · 5 across the 2 of their papers we have counts for

collaborators

12 papers

math.OC2021

Peak Estimation for Uncertain and Switched Systems

Jared Miller, Didier Henrion, Mario Sznaier +1

Peak estimation bounds extreme values of a function of state along trajectories of a dynamical system. This paper focuses on extending peak estimation to continuous and discrete se…

math.OC2021

Model Predictive Control of a Vehicle using Koopman Operator

Vít Cibulka, Milan Korda, Tomáš Haniš +1

This paper continues in the work from arXiv:1903.06103 [math.OC] where a nonlinear vehicle model was approximated in a purely data-driven manner by a linear predictor of higher ord…

math.OC2021

Spatio-Temporal Decomposition of Sum-of-Squares Programs for the Region of Attraction and Reachability

Vít Cibulka, Milan Korda, Tomáš Haniš

This paper presents a method for calculating Region of Attraction of a target set (not necessarily an equilibrium) for controlled polynomial dynamical systems, using a hierarchy of…

eess.SY2019

Control-Oriented, Data-Driven Models of Thermal Dynamics

Ljuboslav Boskic, Igor Mezic

Energy savings from efficiency methods in individual residential buildings are measured in 10's of dollars, while the energy savings from such measures nationally would amount to 1…

math.OC2019

Computing controlled invariant sets from data using convex optimization

Milan Korda

This work presents a data-driven method for approximation of the maximum positively invariant (MPI) set and the maximum controlled invariant (MCI) set for nonlinear dynamical syste…

math.OC2018

Optimal construction of Koopman eigenfunctions for prediction and control

Milan Korda, Igor Mezić

This work presents a novel data-driven framework for constructing eigenfunctions of the Koopman operator geared toward prediction and control. The method leverages the richness of…