Motion Camouflage in a Stochastic Setting

Abstract

Recent work has formulated 2- and 3-dimensional models and steering control laws for motion camouflage, a stealthy pursuit strategy observed in nature. Here we extend the model to encompass the use of a high-gain pursuit law in the presence of sensor noise as well as in the case when the evader's steering is driven by a stochastic process, demonstrating (in the planar setting) that motion camouflage is still accessible (in the mean) in finite time. We also discuss a family of admissible stochastic evader controls, laying out the groundwork for a future game-theoretic study of optimal evasion strategies.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2007
Accession Number
ADA500088

Entities

People

  • E. W. Justh
  • K. S. Galloway
  • P.S.Krishnaprasad

Organizations

  • University of Maryland

Tags

Communities of Interest

  • C4I
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Brownian Motion
  • Camouflage
  • Closed Loop Systems
  • Control Systems
  • Differential Equations
  • Equations
  • Gain
  • Guidance
  • High Gain
  • Military Research
  • Navigation
  • Proportional Navigation
  • Simulations
  • Steering
  • Stochastic Control
  • Stochastic Processes
  • Three Dimensional

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Game Theory.
  • Strategic Security Studies