Proceedings Article10.2514/6.2005-6062
Rapid Trajectory Optimization Using Computational Intelligence for Guidance and Conceptual Design of Multistage Space Launch Vehicles
Mateen-ud-Din Qazi,He Linshu,Tarek Elhabian +2 more
- 15 Aug 2005
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About: The article was published on 15 Aug 2005. The article focuses on the topics: Space launch & Computational intelligence.
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Citations
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References
Large sample properties of simulations using latin hypercube sampling
TL;DR: In this paper, a method for producing Latin hypercube samples when the components of the input variables are statistically dependent is described, and the estimate is also shown to be asymptotically normal.
1.9K
Multidisciplinary Aerospace Design Optimization: Survey of Recent Developments
TL;DR: A survey of recent publications in the field of aerospace where interest in MDO has been particularly intense is presented, focused on the interaction of the structures discipline with other disciplines.
Multidisciplinary aerospace design optimization: Survey of recent developments
Jaroslaw Sobieszczanski-Sobieski,Raphael T. Haftka +1 more
- 15 Jan 1996
TL;DR: A survey of recent publications in the field of aerospace where interest in multidisciplinary optimization has been particularly intense can be found in this paper, which includes sections on Mathematical Modeling, Design-oriented Analysis, Approximation Concepts, Optimization Procedures, System Sensitivity and Human Interface.
Costate Estimation by a Legendre Pseudospectral Method
Fariba Fahroo,I. Michael Ross +1 more
TL;DR: In this paper, a Legendre pseudospectral method for directly estimating the costates of the Bolza problem encountered in optimal control theory is presented. But the method is based on calculating the state and control variables at the Legendre-Gauss-Lobatto (LGL) points.
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