State Tracking of Uncertain Hybrid Concurrent Systems

Abstract

In this paper we propose a component-based hybrid formalism, that represents physical phenomena by combining concurrent automata with continuous uncertain dynamic models. The formalism eases the modeling of complex physical systems, and adds concurrency to the supervision of hybrid systems. Uncertainties in the model are integrated as probabilities at the discrete level and intervals at the continuos level. Our modeling framework is rather generic while focusing on the construction of intelligent autonomous supervisors by integrating a continuous/discrete interface able to reason on-line in any region of the physical system state-space, for behavior simulation, diagnosis and system tracking.

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Document Details

Document Type
Technical Report
Publication Date
May 04, 2002
Accession Number
ADP012701

Entities

People

  • Emmanuel Benazera
  • Louise Trave-massuyes
  • Philippe Dague

Organizations

  • Laboratory for Analysis and Architecture of Systems

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Automata
  • Computational Science
  • Computer Science
  • Consistency
  • Detection
  • Equations
  • Frequency
  • Hybrid Systems
  • Observation
  • Probability
  • Simulations
  • Standards
  • Time Intervals
  • Trajectories
  • Workshops

Fields of Study

  • Computer science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Software Engineering.

Technology Areas

  • Space