Stochastic Estimation in Combined Arms Lanchester Modeling of Warfare.
Abstract
Deterministic Lanchester models of warfare with time dependent attrition coefficients has received extensive study. There does not appear to be any analytical effort to incorporate observations of the battlefield into Lanchester models. This is very surprising when one considers the vast amount of effort going on in developing techniques for observing events on the battlefield and integrating intelligence in a fusion center. In addition, no analytical work appears to have incorporated uncertainties in the model itself. The objective of this paper is to develop a general methodology, using stochastic estimation theory as practiced in modern control theory, for predicting conditions on the battlefield from measurements or observations of the battle area that are themselves uncertain and where the parameters of the mathematical model are not known precisely. Examples are also provided to show how the general theory can be applied to two specific problems. Keywords: Kalman Bucy filters.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jul 01, 1985
- Accession Number
- ADA165219
Entities
People
- Herbert E. Cohen
Organizations
- United States Army Materiel Systems Analysis Activity