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University of Illinois at Urbana-Champaign

Enhancing AutoMPC for efficient offline optimal control of robots through state constraints, improved system identification models and trajectory tracking controllers

Abstract

dc:description

Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2025-05-01

Degree

thesis:*
Name thesis:degree_name
M.S.
Level thesis:degree_level
Thesis
Discipline thesis:degree_discipline
Electrical & Computer Engr
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2023

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Jeong, Dohun
Contributors dc:contributor
  • Hauser, Kris K

Subjects

dc:subject × 3

Rights

dc:rights
Statement dc:rights
  • Copyright 2023 Dohun Jeong
Language dc:language
en, eng

Identifiers

dc:identifier.*
Handle dc:identifier
https://hdl.handle.net/2142/120584
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/120584

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Jeong, Dohun. Enhancing AutoMPC for efficient offline optimal control of robots through state constraints, improved system identification models and trajectory tracking controllers. Thesis thesis, University of Illinois at Urbana-Champaign, 2023. https://hdl.handle.net/2142/120584