1 citations · 1 across the 9 of their papers we have counts for
10 papers
Output Feedback Minimax Adaptive Control
Olle Kjellqvist, Anders Rantzer
This paper formulates adaptive controller design as a minimax dual control problem. The objective is to design a controller that minimizes the worst-case performance over a set of…
Minimax Performance Limits for Multiple-Model Estimation
Olle Kjellqvist
This article concerns the performance limits of strictly causal state estimation for linear systems with fixed, but uncertain, parameters belonging to a finite set. In particular,…
Minimax dual control with finite-dimensional information state
Olle Kjellqvist
This article considers output-feedback control of systems where the function mapping states to measurements has a set-valued inverse. We show that if the set has a bounded number o…
Distributed Adaptive Control for Uncertain Networks
Venkatraman Renganathan, Anders Rantzer, Olle Kjellqvist
Control of network systems with uncertain local dynamics has remained an open problem for a long time. In this paper, a distributed minimax adaptive control algorithm is proposed f…
Learning Team Decisions
Olle Kjellqvist, Ather Gattami
In this paper, we treat linear quadratic team decision problems, where a team of agents minimizes a convex quadratic cost function over time steps subject to possibly distinct…
On Infinite-horizon System Level Synthesis Problems
Olle Kjellqvist, Jing Yu
System level synthesis is a promising approach that formulates structured optimal controller synthesis problems as convex problems. This work solves the distributed linear-quadrati…
Distributed Implementation of Minimax Adaptive Controller For Finite Set of Linear Systems
Venkatraman Renganathan, Anders Rantzer, Olle Kjellqvist
This paper deals with a distributed implementation of minimax adaptive control algorithm for networked dynamical systems modeled by a finite set of linear models. To hedge against…
-Analysis: A New Notion of Robustness for Large Systems with Structured Uncertainties
Olle Kjellqvist, John C. Doyle
We present a new, scalable alternative to the structured singular value, which we call , provide a convex upper bound, study their properties and compare them to robust…
Learning-Enabled Robust Control with Noisy Measurements
Olle Kjellqvist, Anders Rantzer
We present a constructive approach to bounded -gain adaptive control with noisy measurements for linear time-invariant scalar systems with uncertain parameters belonging to…
Minimax Adaptive Estimation for Finite Sets of Linear Systems
Olle Kjellqvist, Anders Rantzer
For linear time-invariant systems with uncertain parameters belonging to a finite set, we present a purely deterministic approach to multiple-model estimation and propose an algori…