7 papers
Optimal input design via Frank-Wolfe
Fethi Bencherki, Bruce Lee, Nikolai Matni +1
We study optimal input design over a finite horizon for linear dynamical systems. The goal is to minimize a weighted inverse-covariance (information) criterion subject to an energy…
Dual Control: On Exploration-Exploitation in Linear Systems
Tomas J. Meijer, Anders Rantzer
The term "dual control" refers to the dual objective of simultaneously balancing exploration and exploitation. Problems of this kind have been studied for nearly a century. This pa…
Minimax optimal dual control of positive systems: an exact solution for scalar input-sign uncertainty
Fethi Bencherki, Tomas J. Meijer, Anders Rantzer
While recent advances in minimax dual control have led to exact solutions for uncertain general linear time-invariant systems as well as (sub)optimal dual controllers, correspondin…
Minimax adaptive control for finite sets of positive linear systems
Fethi Bencherki, Anders Rantzer
We present a minimax adaptive control framework for discrete-time positive linear systems with parametric uncertainty and adversarial disturbances. The uncertainty in the system dy…
Sparse State Feedback Control for Industrial Applications
Alba Gurpegui Ramón, Frida Norlund, Kristian Soltesz +1
We present an optimization-based methodology for designing sparse state-feedback controllers for industrial applications that are suited for linear control, and demonstrate the fra…
Positive Observers Revisited
David Ohlin, Anders Rantzer, Emma Tegling
The paper shows that positive linear systems can be stabilized using positive Luenberger-type observers. This is achieved by structuring the observer as monotonically converging up…
Adaptive Control of Positive Systems with Application to Learning SSP
Fethi Bencherki, Anders Rantzer
An adaptive controller is proposed and analyzed for the class of infinite-horizon optimal control problems in positive linear systems presented in (Ohlin et al., 2024b). This contr…