Time Sensitive Control of Air Combat Operations

Abstract

The objective of this project is to create new ways of using Temporal Logic to support Dynamic Replanning of Air Tasking Plans. The formal axiomatic system for temporal logic that accommodates both points and intervals, Point-Interval Temporal Logic (PITL), has been implemented in the algorithm called TEMPER-2 (TEMPoral programmER). TEMPER 2 considers quantitative measures of time, namely time stamps and interval lengths. A new software architecture was developed to accommodate the new algorithm. CAESAR II/COA, a software system that transforms automatically influence nets into executable colored Petri nets, has been developed and tested. This integrated model of intelligence and planning tools is capable of generating effects-based courses of action. In addition, the use of occurrence graphs (reachability trees) permits the analysis and evaluation of alternative time phased sequences of actions. An approach for integrating command and control models with communications models has been developed. The objective is the development of an effective method for estimating the connection delays between tasks so that the performance of a C3 system which performs multiple tasks in a real-time distributed computer environment can be predicted. The approach taken is that of two state machines communicating with each other where each machine and their interactions are modeled using colored Petri nets.

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Document Details

Document Type
Technical Report
Publication Date
Jan 14, 1998
Accession Number
ADA388098

Entities

People

  • Alexander H. Levis

Organizations

  • George Mason University

Tags

Communities of Interest

  • C4I
  • Cyber
  • Space

DTIC Thesaurus Topics

  • Abstracts
  • Air Force
  • Algorithms
  • Combat Operations
  • Command And Control
  • Computers
  • Engineering
  • Environment
  • Information Warfare
  • Intervals
  • Petri Nets
  • Security
  • Software Design
  • Students
  • Systems Engineering
  • Test And Evaluation
  • Warfare

Fields of Study

  • Computer science
  • Engineering

Readers

  • Distributed Systems and Data Platform Development
  • Mathematical Modeling and Probability Theory.
  • Software Engineering.

Technology Areas

  • Fully Networked C3
  • Fully Networked C3 - Command and Control