Application of semantic control to a class of pursuer-evader problems

A. Garcia-Ortiz, J. Wootton, E. Y. Rodin, S. M. Amin, M. Meusey, C. Ruan, A. Y. Wu, P. De, J. Revetta

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

In this article, we describe our work in developing a comprehensive software system for tactical decision aiding for an evader faced with multiple pursuers. The objective is to provide the evader with defensive maneuver decisions that maximize its chances of survival. We have developed a hierarchical semantic controller consisting of a System Identifier, a Goal Selector and an Adapter. This system is implemented on a 386DX personal computer via object-oriented programming, knowledge-based systems, Analytical Hierarchy Process, optimal control, and differential game methodologies. The viability of our Semantic Control approach to the evasive action selection problem has been shown and its operation has been tested against pursuers which follow either pure pursuit or proportional guidance strategies. The user is included in the decision process via approval of setpoints. Displays of the engagement and effect of coverage by countermeasures provide a visual reinforcement of the recommendation made. Use of semantic controllers as TDA support systems for man-in-the-loop, pursuer-evader problems on a PC with current software and hardware technology is feasible. The ability to deploy the system on a portable PC permits the use of the technology in a wide variety of applications.

Original languageEnglish (US)
Pages (from-to)97-124
Number of pages28
JournalComputers and Mathematics with Applications
Volume26
Issue number6
DOIs
StatePublished - Sep 1993
Externally publishedYes

Bibliographical note

Funding Information:
The work of all the members affiliated with the Center for Optimization and Semantic Control was supported in part by AFOSR under Grant number 890158 .

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