collaborators

10 papers

math.OC2026

L1 Optimal Control of Continuous-Time Stochastic Positive Systems

Alba Gurpegui, Takashi Tanaka, Anders Rantzer

We present an L1-optimal control problem class with linear nonnegative costs subject to multiplicative Itô diffusion processes with elementwise linear input constraints. Forward i…

math.OC2026

Model Predictive Control for Constrained Linear Positive Systems on Graphs

Roland Schurig, David Ohlin, Anders Rantzer +2

Positive systems describing networks with inherently non-negative states and inputs arise naturally in routing, logistics, and compartmental modelling. We consider problems modelle…

math.OC2026

Minimax optimal dual control -- The single input case

Anders Rantzer

An explicit solution is derived for the Bellman inequality corresponding to minimax optimal dual control. The minimizing player determines control action as a function of past stat…

math.OC2026

On Integral Linear Constraints on Convex Cones

Emil Vladu, Alexandre Megretski, Anders Rantzer

In this paper, we consider integral linear constraints and the dissipation inequality with linear supply rates for certain sets of trajectories confined pointwise in time to a conv…

math.OC2026

Minimax Linear Regulator Problems for Positive Systems

Alba Gurpegui, Mark Jeeninga, Emma Tegling +1

Explicit solutions to optimal control problems are rarely obtainable. Of particular interest are the explicit solutions derived for minimax problems, providing a framework to addre…

math.OC2026

Heuristic Search for Linear Positive Systems

David Ohlin, Anders Rantzer, Emma Tegling

This work considers infinite-horizon optimal control of positive linear systems applied to the case of network routing problems. We demonstrate the equivalence between Stochastic S…