Jack Umenberger

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Ian R. ManchesterProfessor, University of Sydney. Director, ACFR. Director, ARIAM Hub.Dirección de correo verificada de sydney.edu.au
Thomas SchönProfessor, Uppsala UniversityDirección de correo verificada de it.uu.se
Håkan HjalmarssonCentre for Advanced Bioproduction, Linnaeus Centre ACCESS, School of EE and CSDirección de correo verificada de kth.se
Ali Haydar GöktoğanAustralian Centre for Field Robotics, The University of SydneyDirección de correo verificada de acfr.usyd.edu.au
Xiaoming HuProfessor in Optimization and Systems Theory, KTH Royal Institute of TechnologyDirección de correo verificada de kth.se
Russ TedrakeMIT (EECS, MechE, Aero/Astro) and Toyota Research InstituteDirección de correo verificada de mit.edu
Koen TielsAssistant Professor, Eindhoven University of Technology (TU/e)Dirección de correo verificada de tue.nl
Antônio H. RibeiroUppsala UniversityDirección de correo verificada de it.uu.se
Luis A. AguirreUniversade Federal de Minas GeraisDirección de correo verificada de ufmg.br
Juan Carlos PerdomoGraduate Student; University of California, BerkeleyDirección de correo verificada de berkeley.edu
MAX SIMCHOWITZMITDirección de correo verificada de mit.edu
Christian GrusslerAssistant Professor of Mechanical Engineering, Technion - Israel Institute of Technology, IsraelDirección de correo verificada de technion.ac.il
Pablo A. ParriloProfessor of Electrical Engineering and Computer Science, Massachusetts Institute of TechnologyDirección de correo verificada de mit.edu
Tobia MarcucciPhD student, MITDirección de correo verificada de mit.edu
Kaiqing ZhangLIDS and CSAIL, Massachusetts Institute of TechnologyDirección de correo verificada de mit.edu

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Jack Umenberger

Postdoctoral associate, MIT

Dirección de correo verificada de it.uu.se - Página principal

systems and control system identification machine learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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
Maximum likelihood identification of stable linear dynamical systems J Umenberger, J Wågberg, IR Manchester, TB Schön Automatica 96, 280-292, 2018	32*	2018
On the smoothness of nonlinear system identification AH Ribeiro, K Tiels, J Umenberger, TB Schön, LA Aguirre Automatica 121, 109158, 2020	27	2020
Robust exploration in linear quadratic reinforcement learning J Umenberger, M Ferizbegovic, TB Schön, H Hjalmarsson Advances in Neural Information Processing Systems 32, 2019	26	2019
Specialized interior-point algorithm for stable nonlinear system identification J Umenberger, IR Manchester IEEE Transactions on Automatic Control 64 (6), 2442-2456, 2018	26	2018
Inverse optimal control for discrete-time finite-horizon linear quadratic regulators H Zhang, J Umenberger, X Hu Automatica 110, 108593, 2019	21	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	17	2019
Scalable identification of stable positive systems J Umenberger, IR Manchester 2016 IEEE 55th Conference on Decision and Control (CDC), 4630-4635, 2016	15	2016
Guidance, navigation and control of a small-scale Paramotor J Umenberger, AH Goktogan Proceedings of Australasian Conference on Robotics and Automation, 3-5, 2012	15	2012
Convex bounds for equation error in stable nonlinear identification J Umenberger, IR Manchester IEEE control systems letters 3 (1), 73-78, 2018	12	2018
System identification and control of a small-scale paramotor J Umenberger, AH Göktoğan 2013 IEEE International Conference on Robotics and Automation, 2970-2976, 2013	11	2013
Identification of externally positive systems C Grussler, J Umenberger, IR Manchester 2017 IEEE 56th annual conference on decision and control (CDC), 6549-6554, 2017	10	2017
Learning convex bounds for linear quadratic control policy synthesis J Umenberger, TB Schön Advances in Neural Information Processing Systems 31, 2018	9	2018
Optimistic robust linear quadratic dual control J Umenberger, TB Schön Learning for Dynamics and Control, 550-560, 2020	7	2020
Stabilizing dynamical systems via policy gradient methods J Perdomo, J Umenberger, M Simchowitz Advances in Neural Information Processing Systems 34, 29274-29286, 2021	6	2021
Shortest paths in graphs of convex sets T Marcucci, J Umenberger, PA Parrilo, R Tedrake arXiv preprint arXiv:2101.11565, 2021	6	2021
Nonlinear input design as optimal control of a Hamiltonian system J Umenberger, TB Schön IEEE Control Systems Letters 4 (1), 85-90, 2019	4	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
Globally convergent policy search over dynamic filters for output estimation J Umenberger, M Simchowitz, JC Perdomo, K Zhang, R Tedrake arXiv preprint arXiv:2202.11659, 2022	3	2022
Distributed identification of contracting and/or monotone network dynamics M Revay, J Umenberger, IR Manchester arXiv preprint arXiv:2107.14309, 2021	2	2021

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