Computation for Nonlinear Balancing

Abstract

This paper illustrates a computational approach to practical nonlinear balancing via the forced damped pendulum example. The authors have illustrated a computational approach for practical implementation of Scherpen's nonlinear balancing procedure via application to the forced damped pendulum system. A Monte-Carlo approach provides an estimate of the controllability energy function. The observability energy function is computed via numerical integration and also is suitable as an empirical method. Numerical implementation of the Morse-Palais lemma is achieved using a successive approximation algorithm for an operator square root which appears in Palais' proof. The corresponding convergence criterion gives an estimate of the neighborhood in which the given function is locally quadratic. The balanced realization for the pendulum system results in one state having roughly double the input-output influence as the other state.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1998
Accession Number
ADA439664

Entities

People

  • Andrew J. Newman
  • P.S.Krishnaprasad

Organizations

  • University of Maryland

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Computational Science
  • Computations
  • Differential Equations
  • Electrical Engineering
  • Engineering
  • Equations
  • Linear Systems
  • Mathematical Analysis
  • Military Research
  • Numbers
  • Partial Differential Equations
  • Pendulums
  • Square Roots
  • Universities
  • White Noise

Fields of Study

  • Mathematics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Calculus or Mathematical Analysis
  • Control Systems Engineering.