Nonlinear System Identification Study. Part I. Implementation Feasibility Study.

Abstract

The implementation feasibility of a nonlinear system identification technique is evaluated in this report. The identification technique uses a 'black box' approach requiring measurements only at system input and output terminals and is applicable to weakly nonlinear systems whose behavior is adequately characterized by a finite Volterra series. Three hardware implementations of the identification technique are postulated and their respective performances are evaluated. The impact of A/D converter quantization error, non-ideal amplifiers, multipliers and integrators on performance of the identification process is assessed. Performance requirements for each of the three implementations are derived via simulation and analysis. The feasibility of implementing the technique using commercially available state of the art components and measurement equipment in each implementation is assessed. RADC-TR-79-199, Part II, A computational complexity study of the identification technique processing to determine the class of nonlinear systems to which the technique can be practically applied will be published at a later date. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1979
Accession Number
ADA081464

Entities

People

  • E. J. Ewen

Organizations

  • General Electric

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Amplifiers
  • Computational Complexity
  • Computer Programs
  • Computer Simulations
  • Computers
  • Converters
  • Data Storage Systems
  • Digital Computers
  • Feasibility Studies
  • Generators
  • Nonlinear Systems
  • Plastic Explosives
  • Signal Generators
  • Test And Evaluation
  • Two Dimensional
  • Waveform Generators
  • Waveforms

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Systems Analysis and Design