A CLOSED-LOOP COMPARISON OF CONTROL ALLOCATION METHODS

By A. Page, Marc L. Steinbergt. 2000

105 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Numerical Analysis

View Paper: https://www.semanticscholar.org/paper/746bb3267ec6bd6b07ffd9623204ac6481f86157

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

1. Andrea Serrani
2. David B. Doman
3. Marc Bodson
4. Thor I. Fossen
5. T. A. Johansen
6. Veysel Gazi
7. Kevin M. Passino
8. Susan A. Frost

In Numerical Analysis

1. David B. Doman
2. Marc Bodson
3. Thor I. Fossen
4. T. A. Johansen
5. Susan A. Frost
6. Emanuele Garone
7. Alessandro Casavola

Citations in the corpus

• Model-Predictive Dynamic Control Allocation Scheme for Reentry Vehicles (2007, methodology): “Following the seminal work of Durham [1–3], several algorithms for linear control allocation and linear control mixing have been developed over the last decade [4–12], and a few survey papers exist [13,14] that point out the advantages and disadvantages of various control allocation schemes.”
• Evaluation of optimization methods for control allocation (2001, background): “The interactions between the algorithms and a closed-loop flight control system are not addressed (see [22] for some results in that direction).”