Online inverse optimal control for control-constrained discrete-time systems on finite and infinite horizons. (October 2020)
- Record Type:
- Journal Article
- Title:
- Online inverse optimal control for control-constrained discrete-time systems on finite and infinite horizons. (October 2020)
- Main Title:
- Online inverse optimal control for control-constrained discrete-time systems on finite and infinite horizons
- Authors:
- Molloy, Timothy L.
Ford, Jason J.
Perez, Tristan - Abstract:
- Abstract: In this paper, we consider the problem of computing parameters of an objective function for a discrete-time optimal control problem from state and control trajectories with active control constraints. We propose a novel method of inverse optimal control that has a computationally efficient online form in which pairs of states and controls from given state and control trajectories are processed sequentially without being stored or processed in batches. We establish conditions guaranteeing the uniqueness of the objective-function parameters computed by our proposed method from trajectories with active control constraints. We illustrate our proposed method in simulation.
- Is Part Of:
- Automatica. Volume 120(2020)
- Journal:
- Automatica
- Issue:
- Volume 120(2020)
- Issue Display:
- Volume 120, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 120
- Issue:
- 2020
- Issue Sort Value:
- 2020-0120-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-10
- Subjects:
- Optimal control -- Discrete-time systems -- Nonlinear systems
Automatic control -- Periodicals
Automation -- Periodicals
629.805 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00051098 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.automatica.2020.109109 ↗
- Languages:
- English
- ISSNs:
- 0005-1098
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1829.450000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 13819.xml