Adaptive Modeling of the Dynamics of Autonomous Land Vehicles.

Abstract

This study examines the feasibility of identifying the dynamic parameters of autonomous land vehicles. Initially a simulation study is done using a simplified vehicle model and three different identification schemes. The parameter estimator which has the best characteristics is then used on an improved model to determine if this approach can be used to obtain the parameters of multi-wheeled vehicles. Contents: Survey of Previous Work; Least-Squares Identifier; Kalman Filter Identifier; Stochastic Gradient Identifier; Improved Model Identification.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1986
Accession Number
ADA172404

Entities

People

  • James H. Kessler Iv

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Autonomy
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Accelerometers
  • Accuracy
  • Acquisition
  • Algorithms
  • Autonomous Vehicles
  • Computers
  • Engineering
  • Estimators
  • Filters
  • Inertial Navigation Systems
  • Kalman Filters
  • Mathematical Filters
  • Microprocessors
  • Random Variables
  • Surveys
  • Time Intervals
  • United States

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.