Modeling and Analysis of Networked Control Systems Using Stochastic Hybrid Systems

Abstract

This paper aims at familiarizing the reader with Stochastic Hybrid Systems (SHSs) and enabling her to use these systems to model and analyze Networked Control Systems (NCSs). Towards this goal, we introduce two different models of SHSs and a set of theoretical tools for their analysis. In parallel with the presentation of the mathematical models and results, we provide a few simple examples that illustrate the use of SHSs to models NCSs.

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Document Details

Document Type
Technical Report
Publication Date
Sep 03, 2014
Accession Number
AD1018397

Entities

People

  • João P. Hespanha

Organizations

  • University of California, Santa Barbara

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Applied Mathematics
  • Computational Science
  • Control Systems
  • Control Systems Engineering
  • Differential Equations
  • Electrical Engineering
  • Equations
  • Information Processing
  • Information Science
  • Lyapunov Functions
  • Markov Processes
  • Probabilistic Models
  • Probability
  • Probability Density Functions
  • Random Variables
  • Stochastic Processes

Fields of Study

  • Computer science

Readers

  • Database Systems and Applications
  • Military Training and Readiness Simulation
  • Operations Research