Decision Support System for Medium Range Aerial Duels Combining Elements of Pursuit-Evasion Game Solutions with AI Techniques

  • Stéphane Le Ménec
  • Pierre Bernhard
Part of the Annals of the International Society of Dynamic Games book series (AISDG, volume 3)


The improvement of guidance possibilities of medium range missiles with new missiles like the Mica/Amraam1 increases the number of phases in aerial duels and implies more complex firing and escape strategies. Therefore we are interested in developing algorithmic methods to study these new duels, which are difficult to study merely with the classical techniques of game theory.

The paper describes a decision support system for a fighter pilot in medium-range game combat. The design of the system is based on combining pursuit-evasion game solutions with AI techniques, such as decision trees, by taking advantage of an existing expert system shell called SMECI2. This system improves on a previous study about a Pilot Advisory System outlined in [7] and develops new concepts for further support systems, optimizing pilot decisions in air combat.

The article describes firstly what aerial medium range duels are, before studying parts of them as differential subgames. Then we explain how to design a decision support system with several simulations, using barriers of differential subgames. At the end of the paper, we give some examples of this decision support system called ADAM3.

This study has been supported by DRET4, which is interested in new methodologies for pilot decision support systems, contract n° 90/532: “Decision Support System for Aerial Duels”.


Decision Support System Differential Game Medium Range Capture Zone Focal Line 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. [1]
    Pierre Bernhard. Application of the min-max certainty equivalence principle to sampled data h-infinity optimal control. Systems & Control Letters, July 1990.Google Scholar
  2. [2]
    M. Guelman, J. Shinar, and A. Green. Qualitative study of a planar pursuit evasion game in the atmosphere. In Proceedings of the AIAA Guidance, Navigation and Control Conference, Minneapolis, August 15- 17 1988.Google Scholar
  3. [3]
    Rufus Isaacs. Differential Games, a Mathematical Theory with Applications to Warfare and Pursuit, Control and Optimization. Applied Mathematics. SIAM, New York, 1965.Google Scholar
  4. [4]
    Stephane Le Menec. Differential games and symbolic programming to calculate a guaranteed aircraft evasion in modern aerial duels. In Proceedings of the 33rd IEEE Conference on Decision and Control, pp FP7 - Nonlinear Aircraft Control, Lake Buena Vista Florida, December 14- 16, 1994.Google Scholar
  5. [5]
    G.J. Olsder and J.V. Breakwell. Role determination in an aerial dogfight. International Journal of Game Theory, 1974, 3:47 - 66.Google Scholar
  6. [6]
    J. Shinar, A.W. Siegel, and Y.I. Gold. On the analysis of a complex differential game using artificial intelligence techniques. In Proceedings of the 27th IEEE Conference on Decision and Control, p. TP5, Austin, December 1988.Google Scholar
  7. [7]
    J. Shinar, A.W. Siegel, and Y.I. Gold. A medium-range air combat game solution by a pilot advisory system. In Proceedings of the AIAA Guidance Navigation and Control Conference, Boston, August 1989.Google Scholar

Copyright information

© Birkhäuser Boston 1995

Authors and Affiliations

  • Stéphane Le Ménec
    • 1
  • Pierre Bernhard
    • 2
  1. 1.MATRA-DÉFENSEVélizy-Villacoublay CedexFrance
  2. 2.INRIASophia-Antipolis CedexFrance

Personalised recommendations