Modeling and Diagnosing Nonlinear Systems

Abstract

This three-year program of research concerned the development of new techniques for diagnosing, modeling and controlling nonlinear systems. The primary focus was on low-dimensional systems and the detection of bifurcation precursors in noisy environments. The major objective of the research was to extend our previous work on symbolic time series analysis to weakly non-stationary systems which are undergoing a qualitative change in their behavior. The aim is to develop a general, practical and robust detection scheme to provide early warning of impending instabilities.

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Document Details

Document Type
Technical Report
Publication Date
Feb 23, 2001
Accession Number
ADA387880

Entities

People

  • E. R. Tracy

Organizations

  • College of William & Mary

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Control Knobs
  • Detection
  • Detectors
  • Environment
  • Instability
  • Internal Combustion Engines
  • Lasers
  • Nonlinear Dynamics
  • Nonlinear Systems
  • Physics
  • Precursors
  • Scaling Laws
  • Stationary
  • Statistics
  • Students
  • Time Series Analysis

Readers

  • Neural Network Machine Learning.
  • Systems Analysis and Design
  • Technical Research and Report Writing.