Optimality-based dynamic allocation with nonlinear first-order redundant actuators. (September 2016)
- Record Type:
- Journal Article
- Title:
- Optimality-based dynamic allocation with nonlinear first-order redundant actuators. (September 2016)
- Main Title:
- Optimality-based dynamic allocation with nonlinear first-order redundant actuators
- Authors:
- Passenbrunner, Thomas E.
Sassano, Mario
Zaccarian, Luca - Abstract:
- Abstract: A scheme is proposed to induce optimal input allocation of dynamically redundant nonlinear actuators with first-order dynamics that satisfies suitable regularity and stability assumptions. The allocation scheme is parametrized by a cost function associated with the most desirable actuator configuration, and guarantees convergence to the desired set point as well as to the minimum of the cost function. The overall scheme is also shown to reduce, in some special cases, to a nonlinear version of a PI type of control action.
- Is Part Of:
- European journal of control. Volume 31(2016:Sep.)
- Journal:
- European journal of control
- Issue:
- Volume 31(2016:Sep.)
- Issue Display:
- Volume 31 (2016)
- Year:
- 2016
- Volume:
- 31
- Issue Sort Value:
- 2016-0031-0000-0000
- Page Start:
- 33
- Page End:
- 40
- Publication Date:
- 2016-09
- Subjects:
- Allocation for redundant actuators -- Nonlinear systems -- Optimization
Control theory -- Periodicals
Automatic control -- Periodicals
Automatic control -- Mathematics -- Periodicals
Electronic journals
629.805 - Journal URLs:
- http://rave.ohiolink.edu/ejournals/issn/09473580 ↗
http://www.sciencedirect.com/science/journal/09473580 ↗
http://www.sciencedirect.com/ ↗
http://ejc.revuesonline.com ↗
http://www.bibliothek.uni-regensburg.de/ezeit/?1481268 ↗ - DOI:
- 10.1016/j.ejcon.2016.04.002 ↗
- Languages:
- English
- ISSNs:
- 0947-3580
- 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:
- 2693.xml