A Systolic Array Structure for On-Line System Identification

Abstract

In this study, we present an algorithm for system identification for systolic array implementation. With this schema, discrete samples of input and output data of a system with uncertain characteristics are used to determine the parameters of its model. The identification algorithm is based on recursive least squares, QR decomposition, and block processing techniques with covariance resetting. The identification process is based on the use of Givens rotation. Additionally, we want to address the following problems: How the round-off error propagates in time and the implementation in closed loop adaptive control. We will compare the implementation of fixed point arithmetic with the implementation of floating point arithmetic. This is primarily a theoretical investigation to be conducted with computer simulations where numerical results will be investigated. Systolic arrays, Recursive least squares algorithm, Givens rotation, Computer aided manufacturing.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1988
Accession Number
ADA206412

Entities

People

  • Mumtaz Tunc

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Adaptive Control Systems
  • Algorithms
  • Computer Programs
  • Computer Simulations
  • Computers
  • Control Systems
  • Covariance
  • Decomposition
  • Electrical Engineering
  • Engineering
  • Equations
  • Floating Point Operations
  • Identification
  • Linear Systems
  • Measurement
  • Simulations
  • Systems Engineering

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computer Programming and Software Development.