Estimation and Control of Nonlinear and Hybrid Systems with Applications to Air-to-Air Guidance

Abstract

The research covered several aspects of the basic issues that are needed to develop and implement nonlinear and hybrid systems schemes for the filtering, tracking, and control of maneuvering vehicles in an uncertain and nonlinear geometry. It is based on the approximation of the original nonlinear problem by a switched Markov linear models which in turn lead to hybrid model formulation or to piecewise linear approximations. Four aspects are considered: 1) Approaches to handling hybrid systems models; 2) Fast and slow decomposition for piecewise linear systems; 3) Estimation in the presence of impulsive inputs that can serve as either models for the switching behavior or the changes in maneuvers; 4) Modeling, parameterization, and realization issues for hybrid systems. Applications to nonlinear filtering and tracking schemes and their implementation is also addressed.

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Document Details

Document Type
Technical Report
Publication Date
Mar 31, 1989
Accession Number
ADA214542

Entities

People

  • A. H. Haddad

Organizations

  • Georgia Tech

Tags

Communities of Interest

  • C4I
  • Cyber
  • Energy and Power Technologies
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Closed Loop Systems
  • Computational Science
  • Difference Equations
  • Differential Equations
  • Electrical Engineering
  • Filtration
  • Fokker Planck Equations
  • Information Science
  • Linear Systems
  • Mathematical Filters
  • Nonlinear Dynamics
  • Random Variables
  • Stochastic Processes
  • Systems Engineering
  • Three Dimensional
  • Two Dimensional

Readers

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