Optimal Sequential Pattern Recognition--A Military Illustrative Usage Example

摘要

Application is made of a computerized mechanization that applies the discrete Pontryagin Maximum Principle (PMP) to the problem of finding the best sequence of measurements of particular features in a pattern recognition system containing noise. The best sequence is defined as the one that minimizes a performance functional composed of the costs incurred in taking the measurements, the penalties from incorrect decisions, and a measurement of the progress toward reaching the decision. The application used is to aid a battlefield commander in a hypothetical problem of optimal deployment of various sensors. The sensors used are audio unattended ground sensors, MTI radarequipped helicopters, and special optically equipped helicopters. An assumption of costs and probabilities is made so that a specific example problem is solved. (Author)