Evaluation of optimization methods for control allocation
By Marc Bodson. 2001
686 citations recorded by the source corpus.
Subfields: Control and Systems Engineering, Numerical Analysis
View Paper: https://www.semanticscholar.org/paper/9ebb49a1f0a0c84cf5413724d8a0c81eaa1d56a2
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Control and Systems Engineering
- T. A. Johansen
- Thor I. Fossen
- Emanuele Garone
- Alessandro Casavola
- Susan A. Frost
- Stig P. Berge
- Marc Bodson
- Asgeir J. Sørensen
In Numerical Analysis
- Thor I. Fossen
- T. A. Johansen
- Susan A. Frost
- Emanuele Garone
- Alessandro Casavola
- Stig P. Berge
- Marc Bodson
Citations in the corpus
- Load Balancing in Control Allocation (2011, methodology): “The plots show the results of mixed l1 optimization using the algorithm of [6] (solid), of mixed l2 optimization using the algorithm of [9] (dashed), and of mixed l1 l1 optimization using the algorithm of [6] modified as indicated in this paper (dotted).”
- Resolving actuator redundancy - optimal control vs. control allocation (2005, neutral): “6”
- Control allocation - A survey (2013, methodology): “As observed in Bodson (2002), anti-cycling procedures are indeed needed since symmetric effectors may easily lead to degeneracies in the control allocation problem.”
- Constrained nonlinear control allocation with singularity avoidance using sequential quadratic programming (2004, methodology): “Although explicit solutions are desirable due to their simple and efficient implementation, the use of real-time numerical optimization has been suggested, see [4], [8], [16], [17].”
- Fault‐tolerant adaptive control allocation schemes for overactuated systems (2010, methodology): “Owing to its relevance, especially in flight control systems, CAP has been deeply investigated in the last decade and several methods have been proposed: Daisy chaining [2], direct control allocation [3], convex optimization-based algorithms [4–10] and pseudo-inverse-redistribution methods [11, 12].”