Avishai Weiss

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Citaties	1526	1166
h-index	23	19
i10-index	37	32

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Stefano Di CairanoDeputy Director, Distinguished Research Scientist, Mitsubishi Electric ResearchGeverifieerd e-mailadres voor ieee.org
Ilya KolmanovskyProfessor of Aerospace Engineering, University of MichiganGeverifieerd e-mailadres voor umich.edu
Karl BerntorpAlgorithms Team Lead, Distinguished Scientist, Walmart Advanced Systems & RoboticsGeverifieerd e-mailadres voor ieee.org
Uroš V. KalabićWiHiGeverifieerd e-mailadres voor wihi.cc
Richard Scott ErwinAir Force Research LaboratoryGeverifieerd e-mailadres voor us.af.mil
Claus DanielsonAssistant Professor, Department of Mechanical Engineering, University of New MexicoGeverifieerd e-mailadres voor unm.edu
Dennis S. BernsteinAerospace Engineering Department, University of MichiganGeverifieerd e-mailadres voor umich.edu
Ryan James CaverlyAssistant Professor, Department of Aerospace Engineering and Mechanics, University of MinnesotaGeverifieerd e-mailadres voor umn.edu
William YerazunisMitsubishi Electric ResearchGeverifieerd e-mailadres voor merl.com
David Evan ZlotnikUniversity of MichiganGeverifieerd e-mailadres voor umich.edu
Abraham P. VinodPrincipal Research Scientist, Mitsubishi Electric Research LaboratoriesGeverifieerd e-mailadres voor merl.com
Dr. Frederick A. LeveAir Force Office of Scientific ResearchGeverifieerd e-mailadres voor us.af.mil
Alex WalshPhD, University of MichiganGeverifieerd e-mailadres voor umich.edu
Ming-Yu LiuVice President of Research at NVIDIAGeverifieerd e-mailadres voor nvidia.com
Xuebo YangHarbin Institute of TechnologyGeverifieerd e-mailadres voor hit.edu.cn
Amit SanyalAssociate Professor, Mechanical and Aerospace Engineering, Syracuse UniversityGeverifieerd e-mailadres voor syr.edu
James Richard ForbesAssociate Professor, William Dawson Scholar, Department of Mechanical Engineering, McGill UniversityGeverifieerd e-mailadres voor mcgill.ca
Moriba Jah, Ph.D.The University of Texas at AustinGeverifieerd e-mailadres voor utexas.edu
Bingnan WangMitsubishi Electric Research Laboratories (MERL)Geverifieerd e-mailadres voor merl.com
Mouhacine BenosmanAmazon Robotics

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Avishai Weiss

Senior Principal Research Scientist, Mitsubishi Electric Research Laboratories

Geverifieerd e-mailadres voor merl.com - Homepage

Spacecraft Control Time-varying Systems Adaptive Control Model Predictive Control


Titel Sorteren op citaties Sorteren op jaar Sorteren op titel	Geciteerd door Geciteerd door	Jaar
Model predictive control for spacecraft rendezvous and docking: Strategies for handling constraints and case studies A Weiss, M Baldwin, RS Erwin, I Kolmanovsky IEEE Transactions on Control Systems Technology 23 (4), 1638-1647, 2015	273	2015
System and method for controlling vehicle using neural network K Berntorp, MY Liu, A Weiss US Patent 9,989,964, 2018	83	2018
Safe positively invariant sets for spacecraft obstacle avoidance A Weiss, C Petersen, M Baldwin, RS Erwin, I Kolmanovsky Journal of Guidance, Control, and Dynamics 38 (4), 720-732, 2015	79	2015
Station keeping and momentum management of low-thrust satellites using MPC A Weiss, UV Kalabić, S Di Cairano Aerospace Science and Technology 76, 229-241, 2018	59	2018
Model predictive control of three dimensional spacecraft relative motion A Weiss, I Kolmanovsky, M Baldwin, RS Erwin 2012 American control conference (ACC), 173-178, 2012	54	2012
Inertia-free spacecraft attitude control using reaction wheels A Weiss, I Kolmanovsky, DS Bernstein, A Sanyal Journal of Guidance, Control, and Dynamics 36 (5), 1425-1439, 2013	51	2013
Robust motion planning for uncertain systems with disturbances using the invariant-set motion planner C Danielson, K Berntorp, A Weiss, S Di Cairano IEEE Transactions on Automatic Control 65 (10), 4456-4463, 2020	41	2020
Automated driving: Safe motion planning using positively invariant sets K Berntorp, A Weiss, C Danielson, IV Kolmanovsky, S Di Cairano 2017 IEEE 20th International Conference on Intelligent Transportation …, 2017	41	2017
Positive invariant sets for safe integrated vehicle motion planning and control K Berntorp, R Bai, KF Erliksson, C Danielson, A Weiss, S Di Cairano IEEE Transactions on Intelligent Vehicles 5 (1), 112-126, 2019	40	2019
Path planning using positive invariant sets C Danielson, A Weiss, K Berntorp, S Di Cairano 2016 IEEE 55th Conference on Decision and Control (CDC), 5986-5991, 2016	39	2016
MPC for coupled station keeping, attitude control, and momentum management of low-thrust geostationary satellites A Walsh, S Di Cairano, A Weiss 2016 American Control Conference (ACC), 7408-7413, 2016	39	2016
Robust dual control MPC with guaranteed constraint satisfaction A Weiss, S Di Cairano 53rd IEEE Conference on Decision and Control, 6713-6718, 2014	38	2014
Forward-Integration Riccati-Based Output-Feedback Control of Linear Time-Varying Systems A Weiss, I Kolmanovsky, DS Bernstein American Control Conference, 6708-6714, 2012	36	2012
System and method for controlling lateral motion of vehicle K Berntorp, A Weiss, C Danielson, S Di Cairano US Patent 10,994,729, 2021	35	2021
Model predictive control for simultaneous station keeping and momentum management of low-thrust satellites A Weiss, U Kalabić, S Di Cairano 2015 American Control Conference (ACC), 2305-2310, 2015	35	2015
Motion planning with invariant set trees A Weiss, C Danielson, K Berntorp, I Kolmanovsky, S Di Cairano 2017 IEEE Conference on control technology and applications (CCTA), 1625-1630, 2017	34	2017
Spacecraft constrained attitude control using positively invariant constraint admissible sets on SO(3) × ℝ³ A Weiss, F Leve, M Baldwin, JR Forbes, I Kolmanovsky 2014 American Control Conference, 4955-4960, 2014	34	2014
Control strategy for long-term station-keeping on near-rectilinear halo orbits V Muralidharan, A Weiss, UV Kalabic AIAA Scitech 2020 Forum, 1459, 2020	32	2020
Model predictive control with uncertainties S Di Cairano, A Weiss US Patent 9,983,554, 2018	31	2018
Nonlinear model predictive control of coupled rotational-translational spacecraft relative motion BP Malladi, S Di Cairano, A Weiss 2019 American control conference (ACC), 3581-3586, 2019	28	2019

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