NDLI: Parallel and vector computation for stochastic optimal control applications

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Parallel and vector computation for stochastic optimal control applications

Content Provider	NASA Technical Reports Server (NTRS)
Author	Hanson, F. B.
Copyright Year	1989
Description	A general method for parallel and vector numerical solutions of stochastic dynamic programming problems is described for optimal control of general nonlinear, continuous time, multibody dynamical systems, perturbed by Poisson as well as Gaussian random white noise. Possible applications include lumped flight dynamics models for uncertain environments, such as large scale and background random atmospheric fluctuations. The numerical formulation is highly suitable for a vector multiprocessor or vectorizing supercomputer, and results exhibit high processor efficiency and numerical stability. Advanced computing techniques, data structures, and hardware help alleviate Bellman's curse of dimensionality in dynamic programming computations.
File Size	747546
Page Count	15
File Format	PDF
Alternate Webpage(s)	http://archive.org/details/NASA_NTRS_Archive_19900013691
Archival Resource Key	ark:/13960/t90915k1x
Language	English
Publisher Date	1989-12-15
Access Restriction	Open
Subject Keyword	Random Noise Stochastic Processes Variations Data Structures Supercomputers Multiprocessing Computers Dynamical Systems Numerical Analysis Computation Optimal Control White Noise Nonlinearity Dynamic Programming Atmospherics Numerical Stability Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science
Content Type	Text
Resource Type	Article

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