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Uncertainty in Sampled Systems

In English

Författare

Summary, in English

The recently obtained evidence of the need for a positive real element in an adaptive system leaves us with a disturbing gap in adaptive control theory. It is a fact that in some applications adaptive controllers are performing well in practice. How can these systems behave well in practical situations which must contain modeling error? This paper introduces a preliminary result which indicates that it may be possible to maintain the needed positive real system in the presence of modeling error. The result shows that if a continuous-time system with large high frequency uncertainty is treated appropriately with antialiasing filters and sampled slowly enough, the resulting discrete-time system may contain very little uncertainty. With small enough uncertainty in the plant, a positive real system in the adaptive loop is possible

Publiceringsår

1985

Språk

Engelska

Dokumenttyp

Konferensbidrag

Ämne

  • Control Engineering

Nyckelord

  • Adaptive algorithm
  • Adaptive control
  • Adaptive systems
  • Filters
  • Frequency response
  • Programmable control
  • Sampled data systems
  • Sampling methods
  • Stability Uncertainty

Conference name

American Control Conference, 1985

Conference date

1985-06-19 - 1985-06-21

Conference place

Boston, Massachusetts, United States

Status

Published