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Self-tuning servo for stochastic references

Authors
Journal
Automatica
0005-1098
Publisher
Elsevier
Publication Date
Volume
22
Issue
2
Identifiers
DOI: 10.1016/0005-1098(86)90087-7
Keywords
  • Adaptive Control
  • Discrete-Time Systems
  • Tracking Systems
  • Optimal Regulators
  • Self-Tuning Regulators
  • Parameter Estimation
  • Convergence Analysis
  • Stability
Disciplines
  • Computer Science

Abstract

Abstract In this paper a solution to the problem of tracking an unknown reference signal is proposed. Three-term and error driven mean square optimal controllers are defined. Self-tuning algorithms, providing adaptation to both the process dynamics and the reference signal form are derived from the optimal solution. Their global convergence is proved. Simulation results illustrate their main properties.

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