| On the smoothness of nonlinear system identification AH Ribeiro, K Tiels, J Umenberger, TB Schön, LA Aguirre Automatica 121, 109158, 2020 | 44 | 2020 |
| Maximum likelihood identification of stable linear dynamical systems J Umenberger, J Wågberg, IR Manchester, TB Schön Automatica 96, 280-292, 2018 | 37* | 2018 |
| Real-time planning with primitives for dynamic walking over uneven terrain IR Manchester, J Umenberger 2014 IEEE international conference on robotics and automation (ICRA), 4639-4646, 2014 | 35 | 2014 |
| Specialized interior-point algorithm for stable nonlinear system identification J Umenberger, IR Manchester IEEE Transactions on Automatic Control 64 (6), 2442-2456, 2018 | 32 | 2018 |
| Robust exploration in linear quadratic reinforcement learning J Umenberger, M Ferizbegovic, TB Schön, H Hjalmarsson Advances in Neural Information Processing Systems 32, 2019 | 31 | 2019 |
| Inverse optimal control for discrete-time finite-horizon linear quadratic regulators H Zhang, J Umenberger, X Hu Automatica 110, 108593, 2019 | 29 | 2019 |
| Learning robust LQ-controllers using application oriented exploration M Ferizbegovic, J Umenberger, H Hjalmarsson, TB Schön IEEE Control Systems Letters 4 (1), 19-24, 2019 | 23 | 2019 |
| Stabilizing dynamical systems via policy gradient methods J Perdomo, J Umenberger, M Simchowitz Advances in Neural Information Processing Systems 34, 29274-29286, 2021 | 20 | 2021 |
| Guidance, navigation and control of a small-scale Paramotor J Umenberger, AH Goktogan Proceedings of Australasian Conference on Robotics and Automation, 3-5, 2012 | 17 | 2012 |
| Shortest paths in graphs of convex sets T Marcucci, J Umenberger, PA Parrilo, R Tedrake arXiv preprint arXiv:2101.11565, 2021 | 15 | 2021 |
| Scalable identification of stable positive systems J Umenberger, IR Manchester 2016 IEEE 55th Conference on Decision and Control (CDC), 4630-4635, 2016 | 15 | 2016 |
| Convex bounds for equation error in stable nonlinear identification J Umenberger, IR Manchester IEEE control systems letters 3 (1), 73-78, 2018 | 13 | 2018 |
| Learning convex bounds for linear quadratic control policy synthesis J Umenberger, TB Schön Advances in Neural Information Processing Systems 31, 2018 | 12 | 2018 |
| Identification of externally positive systems C Grussler, J Umenberger, IR Manchester 2017 IEEE 56th annual conference on decision and control (CDC), 6549-6554, 2017 | 12 | 2017 |
| System identification and control of a small-scale paramotor J Umenberger, AH Göktoğan 2013 IEEE International Conference on Robotics and Automation, 2970-2976, 2013 | 12 | 2013 |
| Globally convergent policy search for output estimation J Umenberger, M Simchowitz, J Perdomo, K Zhang, R Tedrake Advances in Neural Information Processing Systems 35, 22778-22790, 2022 | 10* | 2022 |
| Identifying external contacts from joint torque measurements on serial robotic arms and its limitations T Pang, J Umenberger, R Tedrake 2021 IEEE International Conference on Robotics and Automation (ICRA), 6476-6482, 2021 | 10 | 2021 |
| Optimistic robust linear quadratic dual control J Umenberger, TB Schön Learning for Dynamics and Control, 550-560, 2020 | 10 | 2020 |
| Nonlinear input design as optimal control of a Hamiltonian system J Umenberger, TB Schön IEEE Control Systems Letters 4 (1), 85-90, 2019 | 7 | 2019 |
| Specialized algorithm for identification of stable linear systems using Lagrangian relaxation J Umenberger, IR Manchester 2016 American Control Conference (ACC), 930-935, 2016 | 4 | 2016 |
Ian R. ManchesterProfessor, University of Sydney. Director, ACFR. Director, ARIAM Hub.Verified email at sydney.edu.au
