Published August 2012 | Version v1
Journal article

Controlled Nonlinear Stochastic Delay Equations: Part II: Approximations and Pipe-Flow Representations

  • 1. Brown University, Applied Math (United States)

Description

This is the second part of a work dealing with key issues that have not been addressed in the modeling and numerical optimization of nonlinear stochastic delay systems. We consider new classes of models, such as those with nonlinear functions of several controls (such as products), each with is own delay, controlled random Poisson measure driving terms, admissions control with delayed retrials, and others. Part I was concerned with issues concerning the class of admissible controls and their approximations, since the classical definitions are inadequate for our models. This part is concerned with transportation equation representations and their approximations. Such representations of nonlinear stochastic delay models have been crucial in the development of numerical algorithms with much reduced memory and computational requirements. The representations for the new models are not obvious and are developed. They also provide a template for the adaptation of the Markov chain approximation numerical methods.

Additional details

Identifiers

Publishing Information

Journal Title
Applied Mathematics and Optimization
Journal Volume
66
Journal Issue
1
Journal Page Range
p. 55-80
ISSN
0095-4616

INIS

Country of Publication
United States
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
44003172
Subject category
S97: MATHEMATICAL METHODS AND COMPUTING;
Descriptors DEI
ALGORITHMS; APPROXIMATIONS; COMPUTERIZED SIMULATION; MARKOV PROCESS; NONLINEAR PROBLEMS; NUMERICAL SOLUTION; OPTIMIZATION; RANDOMNESS; TRANSPORT THEORY
Descriptors DEC
CALCULATION METHODS; MATHEMATICAL LOGIC; MATHEMATICAL SOLUTIONS; SIMULATION; STOCHASTIC PROCESSES

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Copyright
Copyright (c) 2012 Springer Science+Business Media, LLC