2001
DOI: 10.2514/2.4686
|View full text |Cite
|
Sign up to set email alerts
|

Second Look at Approximating Differential Inclusions

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
15
0

Year Published

2002
2002
2023
2023

Publication Types

Select...
6
2
2

Relationship

4
6

Authors

Journals

citations
Cited by 31 publications
(16 citation statements)
references
References 12 publications
(23 reference statements)
0
15
0
Order By: Relevance
“…If a given problem meets all the conditions for both theorems to hold, then the Legendre pseudospectral method provides superior convergence properties with respect to any RK method. Numerical experiments confirm this point [42][43][44][45]; consequently, the Legendre pseudospectral method has become an attractive choice for an upgrade of the OTIS software package [12]. Of course, the software package DIDO uses pseudospectral methods exclusively, and independent tests [30,46,47] of DIDO with other tools have consistently shown its superior performance.…”
Section: Theoretical Foundationsmentioning
confidence: 91%
“…If a given problem meets all the conditions for both theorems to hold, then the Legendre pseudospectral method provides superior convergence properties with respect to any RK method. Numerical experiments confirm this point [42][43][44][45]; consequently, the Legendre pseudospectral method has become an attractive choice for an upgrade of the OTIS software package [12]. Of course, the software package DIDO uses pseudospectral methods exclusively, and independent tests [30,46,47] of DIDO with other tools have consistently shown its superior performance.…”
Section: Theoretical Foundationsmentioning
confidence: 91%
“…Ross and F. Fahroo of the Naval Postgraduate School. DIDO employs a direct Legendre psuedospectral [7][8][9][10][11][12] technique that uses the NLP solver SNOPT. Since the formulation of a problem using a direct Legendre psuedospectral method does not determine the adjoint equations, another tool must be employed to link the solutions generated by indirect methods and direct methods.…”
Section: A Solution Methodologymentioning
confidence: 99%
“…This method which has been extensively described in Refs. 13,[15][16][17][18][19][20][21]27, is based on approximating the state and control variables by Lagrange interpolating polynomials. The unknown coefficients are the values of the variables at the interpolating nodes which in this method are the quadrature points, the Legendre-Gauss-Lobotto (LGL) points.…”
Section: The Legendre Pseudospectral Methodsmentioning
confidence: 99%