Estimation and Control of Nonlinear and Hybrid Systems

Abstract

The research covers several aspects of the basic issues that are needed to develop and implement nonlinear filtering and control of maneuvering vehicles in uncertain environments and nonlinear geometry. The research is involved in modelling maneuvering nonlinear vehicles as switched linear Markov models. The research therefore leads in several directions investigating various aspects of such models which in general are called hybrid systems. Three different aspects are considered: The first involves realization and other generic properties of hybrid systems, including controllability and stability as well as simulation and averaging. The second involves estimation and detection systems for hybrid systems, including various related models and approximate filtering schemes. The third involves the application of switched Markov filtering schemes to the tracking of maneuvering vehicles.

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Document Details

Document Type
Technical Report
Publication Date
Oct 14, 1990
Accession Number
ADA236938

Entities

People

  • A. H. Haddad

Organizations

  • Northwestern University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Closed Loop Systems
  • Computational Science
  • Electrical Engineering
  • Equations
  • Estimators
  • Filters
  • Filtration
  • Information Science
  • Kalman Filters
  • Linear Systems
  • Markov Models
  • Markov Processes
  • Mathematical Filters
  • Probability
  • Stochastic Processes

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.