Experimental and Theoretical Techniques for Nonlinear Identification and Adaptive Cancellation

Abstract

Under this project we developed and demonstrated new techniques for identification and adaptive control. For linear identification, we developed quadratically constrained least squares (QCLS) identification, which extends classical least squares identification and is more resistant to the effects of system noise. For nonlinear identification, we developed a sequential method for combined Hammerstein-nonlinear feedback models. This method uses a piecewise linear approximation to the system nonlinearity and is based on computationally efficient numerical procedures. For adaptive control, we developed controllers for adaptive disturbance rejection and adaptive stabilization. These methods were implemented on laboratory experiments involving active noise control and rotating imbalance stabilization.

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Document Details

Document Type
Technical Report
Publication Date
Dec 05, 2000
Accession Number
ADA385627

Entities

People

  • Dennis S. Bernstein

Organizations

  • University of Michigan

Tags

Communities of Interest

  • Sensors
  • Space

DTIC Thesaurus Topics

  • Aircrafts
  • Algorithms
  • Cancellation
  • Chemical Reactions
  • Control Systems
  • Engineering
  • Feedback
  • Frequency
  • Frequency Domain
  • Linear Systems
  • Multiple Input Multiple Output
  • Neural Networks
  • Nonlinear Systems
  • Rejection
  • Standards
  • Three Dimensional
  • Trajectories

Readers

  • Control Systems Engineering.
  • Robotics and Automation.
  • Statistical inference.