Stochastic Analysis and Design of Systems

Abstract

Analysis and design methods for stochastic hybrid dynamical systems are presented. Analysis methods include reachability analysis as well as statistical approaches. System refinement and decomposition are explored as possible approaches to deal with complexity. Findings show that analysis of this class of systems is not scalable. A promising approach is demonstrated which relies on the automatic construction of decentralized control systems using desirable properties as constraints. The synthesized system does not require to be analyzed thereby cutting the analysis effort. This approach is promising but for now limited in its use.

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Document Details

Document Type
Technical Report
Publication Date
Sep 14, 2011
Accession Number
ADA552645

Entities

People

  • Alessandro Pinto
  • George A. Mathew

Organizations

  • United Technologies Corporation

Tags

Communities of Interest

  • Air Platforms
  • C4I
  • Cyber
  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • Aircrafts
  • Algorithms
  • Case Studies
  • Coding
  • Computational Science
  • Control Systems
  • Differential Equations
  • Distribution Functions
  • Failure Mode And Effect Analysis
  • Local Area Networks
  • Markov Chains
  • Monte Carlo Method
  • Probabilistic Models
  • Probability
  • Probability Distributions
  • Random Variables
  • Stochastic Processes

Fields of Study

  • Computer science
  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Systems Analysis and Design