Survey on the optimal control of Lanchester-type attrition processes

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September 8, 2021 | History

Survey on the optimal control of Lanchester-type attrition processes

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This is a survey paper on the author's research on applications of the mathematical theory of optimal control/differential games to problems of military conflict in order to study the structure of optimal tactical allocation policies. This program has been carried out for tactical allocation problems with the combat described by Lanchester-type equations of warfare. Both deterministic and stochastic attrition processes have been considered, although the major emphasis has been on the former. Optimal allocation policies have been developed for numerous one-sided optimization problems of tactical interest with deterministic Lanchester-type attrition processes in order to study the dependence of the structure of these optimal policies upon model form. Problem areas in applying current mathematical theories to solve such problems are discussed. An important gap in the existing theory of differential games is identified. Various attrition models are considered (reflecting different assumptions as to target acquisition process, command and control capabilities, target engagement process, variations in range capabilities of weapon systems). (Author)

Publish Date
Language
English
Pages
43

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Book Details


Published in

Monterey, Calif

Edition Notes

Title from cover.

"Prepared for: Office of Naval Research, Arlington, Virginia 22217"--Cover.

"March 1974"--Cover.

"NPS-55TW74031"--Cover.

"Partial report for period September 1973 - December 1973."

Author(s) subject terms: Military tactics, Lanchester theory of combat, tactical allocation, optimal control of Lanchester-type processes, optimal distribution of fire, combat dynamics, differential games, optimal control theory.

Includes bibliographical references (p. 33-36).

"Approved for public release; distribution unlimited"--Cover.

Technical report; 1974.

The Physical Object

Pagination
43 p.
Number of pages
43

ID Numbers

Open Library
OL33217024M
Internet Archive
surveyonoptimalc00tayl
OCLC/WorldCat
428125335

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September 8, 2021 Created by MARC Bot Imported from Internet Archive item record.