Processing User Input in Tracking Problems using Model Predictive Control. Issue 1 (July 2017)
- Record Type:
- Journal Article
- Title:
- Processing User Input in Tracking Problems using Model Predictive Control. Issue 1 (July 2017)
- Main Title:
- Processing User Input in Tracking Problems using Model Predictive Control
- Authors:
- Knauer, M.
Büskens, C. - Abstract:
- Abstract: Using the application of a container crane in a high rack warehouse, the problem class of tracking problems is introduced, where the system has to reach a possible time dependent reference value while maintaining stability and safety. These problems are a subclass of nonlinear model predictive control problems, and can be solved numerically as optimal control problems. Numerical results are given for the described application, as well as some considerations on reducing the computational time.
- Is Part Of:
- IFAC-PapersOnLine. Volume 50:Issue 1(2017)
- Journal:
- IFAC-PapersOnLine
- Issue:
- Volume 50:Issue 1(2017)
- Issue Display:
- Volume 50, Issue 1 (2017)
- Year:
- 2017
- Volume:
- 50
- Issue:
- 1
- Issue Sort Value:
- 2017-0050-0001-0000
- Page Start:
- 9846
- Page End:
- 9851
- Publication Date:
- 2017-07
- Subjects:
- optimal control -- real time -- industrial robots -- numerical methods -- simulation
Automatic control -- Periodicals
629.805 - Journal URLs:
- https://www.journals.elsevier.com/ifac-papersonline/ ↗
http://www.sciencedirect.com/ ↗ - DOI:
- 10.1016/j.ifacol.2017.08.905 ↗
- Languages:
- English
- ISSNs:
- 2405-8963
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 8286.xml