Modeling and Estimation Theory for Stochastic Dynamical Systems.

Abstract

This work investigated the use of pseudorandom models as substitutes for stochastic models in various engineering settings. In particular, certain aspects of estimation theory were developed. The subject of high gain nonlinear feedback was investigated and conditions for all solutions of an autonomous second order system to go to zero in finite time have been derived. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Sep 25, 1986
Accession Number
ADA172902

Entities

People

  • R. W. Brockett

Organizations

  • Harvard University

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies
  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Army Personnel
  • Artificial Intelligence
  • Change Detection
  • Computational Science
  • Computer Vision
  • Control Systems
  • Control Theory
  • Differential Equations
  • Differential Geometry
  • Engineering
  • Equations
  • Feedback
  • Fluid Dynamics
  • Geometry
  • High Gain
  • Information Science
  • Power Spectra

Fields of Study

  • Mathematics

Readers

  • Radio communications and signal processing.
  • Systems Analysis and Design
  • Wave Propagation and Nonlinear Chaotic Dynamics.