Approximations and Implementations of Nonlinear Filtering Schemes.

Abstract

The objective of this program is to develop approximation models that may be used for the implementation of nonlinear filtering schemes. The approach is based on two major concepts. The first is concerned with the approximation of nonlinear models for air-to-air missile scenarios by a Markov linear approximate model. The second concept is concerned with models for the errors due to the finite word-length implementation of the filters. In addition, the project is involved with the study of hybird system models that result when nonlinear or linear models such as these are quantized and are subject to switches among a set of linear models. The switching can either be deterministic or stochastic and may involve fast and slow dynamics.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1988
Accession Number
ADA194685

Entities

People

  • A. H. Haddad
  • E. I. Verriest

Organizations

  • Georgia Tech

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Closed Loop Systems
  • Computational Science
  • Control Systems
  • Data Science
  • Fokker Planck Equations
  • Information Processing
  • Information Science
  • Kalman Filters
  • Knowledge Management
  • Mathematical Filters
  • Nonlinear Dynamics
  • Probabilistic Models
  • Quantum Mechanics
  • Random Variables
  • Statistical Algorithms
  • Statistical Analysis
  • Surveys

Fields of Study

  • Mathematics

Readers

  • Computational Modeling and Simulation
  • Image Processing and Computer Vision.
  • Operations Research