An Overview on Randomized Algorithms for Analysis and Control of Uncertain Systems

Abstract

It is well-known that the dominating paradigm of the robustness research is the so-called worst-case model. In contrast to this model, the main feature of the approach studied in this paper is to provide a probabilistic assessment on the system robustness. We present here an overview of this research area, usually denoted as "probabilistic methods for analysis and control of uncertain systems."

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2003
Accession Number
ADA431583

Entities

People

  • Fabrizio Dabbene
  • Roberto Tempo

Organizations

  • Polytechnic University of Turin

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Computational Complexity
  • Control Systems
  • Control Systems Engineering
  • Data Science
  • Distribution Functions
  • Information Science
  • Military Applications
  • Monte Carlo Method
  • Multiple Input Multiple Output
  • Probability
  • Probability Density Functions
  • Random Variables
  • Standards
  • Statistical Samples
  • Statistical Sampling

Readers

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