Nonlinear System Identification Study. Part 2. Computational Complexity Study

Abstract

The computational complexity 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. The computational aspects of the technique are evaluated in terms of the complexity of the calculations and the complexity of the system being implemented. Techniques for reducing the order of the second order response are investigated. These techniques include restricted frequency range, integration time control, and dominant pole concepts. The class of systems to which the technique can be applied is evaluated.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1980
Accession Number
ADA082714

Entities

People

  • E. J. Ewen

Organizations

  • General Electric

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Computational Complexity
  • Computational Science
  • Computer Simulations
  • Computers
  • Dynamic Range
  • Equations
  • Feasibility Studies
  • Frequency
  • Frequency Bands
  • Frequency Response
  • Linear Systems
  • Nonlinear Systems
  • Numerical Integration
  • Simulations
  • Transfer Functions

Readers

  • Applied Combinatorial Optimization and Logic Circuit Design.
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  • Instructional Design and Training Evaluation.