An Examination of the Effects of the Criterion Functional on Optimal Fire-Support Policies

Abstract

This paper examines the dependence of the structure of optimal time- sequential fire support policies on the quantification of military objectives by considering four specific problems, each corresponding to a different quantification of objectives (i.e. criterion functional). The authors consider the optimal time-sequential allocation of supporting fires during the 'approach to contact' of friendly infantry against enemy defensive positions. The combat dynamics are modelled by deterministic Lanchester-type equations of warfare, and the optimal fire-support policy for each one-sided combat optimization problem is developed via optimal control theory. The problems are all nonconvex, and local optima are a particular difficulty in one of them. For the same dynamics, the splitting of supporting fires between two enemy forces in an optimal policy (i.e. the optimality of singular subarcs) is shown to depend only on whether the terminal payoff reflects the objective of attaining an 'overall' military advantage or a 'local' one. Additionally, switching times for changes in the ranking of target priorities are shown to be different when the decision criterion is the difference and the ratio of the military worths of total infantry survivors and also the difference and the ratio of the military worths of the combatants' total infantry losses.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1976
Accession Number
ADA033760

Entities

People

  • Gerald G. Jerry Brown
  • James G. Taylor

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Aerial Warfare
  • Air Force
  • Artillery Fire
  • Attrition
  • Boundary Value Problems
  • Combat Areas
  • Control Theory
  • Differential Equations
  • Equations
  • Fire Support
  • Game Theory
  • Losses
  • Military Operations
  • New York
  • Operations Research
  • Warfare
  • Weapon Systems

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Military History / Militaries and War Studies
  • Military Science