| v-Analysis: A New Notion of Robustness for Large Systems with Structured Uncertainties O Kjellqvist, JC Doyle 2022 IEEE 61st Conference on Decision and Control (CDC), 2361-2366, 2022 | 5 | 2022 |
| Minimax adaptive estimation for finite sets of linear systems O Kjellqvist, A Rantzer 2022 American Control Conference (ACC), 260-265, 2022 | 4 | 2022 |
| Learning-enabled robust control with noisy measurements O Kjellqvist, A Rantzer Learning for Dynamics and Control Conference, 86-96, 2022 | 3 | 2022 |
| Distributed implementation of minimax adaptive controller for finite set of linear systems V Renganathan, A Rantzer, O Kjellqvist arXiv preprint arXiv:2210.00081, 2022 | 2 | 2022 |
| Numerical pitfalls in q-design O Kjellqvist, O Troeng IFAC-PapersOnLine 53 (2), 4404-4408, 2020 | 2 | 2020 |
| Learning Optimal Team-Decisions O Kjellqvist, A Gattami 2022 IEEE 61st Conference on Decision and Control (CDC), 1441-1446, 2022 | 1 | 2022 |
| On infinite-horizon system level synthesis problems O Kjellqvist, J Yu 2022 IEEE 61st Conference on Decision and Control (CDC), 5238-5244, 2022 | 1 | 2022 |
| Laguerre Bases for Youla-Parametrized Optimal-Controller Design: Numerical Issues and Solutions O Kjellqvist | 1 | 2018 |
| Minimax dual control with finite-dimensional information state O Kjellqvist arXiv preprint arXiv:2312.05156, 2023 | | 2023 |
| Minimax Performance Limits for Multiple-Model Estimation O Kjellqvist arXiv preprint arXiv:2312.05159, 2023 | | 2023 |
| Distributed Adaptive Control for Uncertain Networks V Renganathan, A Rantzer, O Kjellqvist arXiv preprint arXiv:2310.17364, 2023 | | 2023 |
| Learning Team Decisions O Kjellqvist, A Gattami arXiv preprint arXiv:2212.11567, 2022 | | 2022 |
| On Control and Estimation of Large and Uncertain Systems O Kjellqvist | | 2022 |
| Robust Output-Feedback Adaptive Control of Finite Sets of Linear Systems O Kjellqvist | | 2022 |
Anders RantzerProfessor, Lund UniversityVerified email at control.lth.se
