On Stochastic Self-Tuning Methods

  • J.-J. J. Fuchs
Conference paper
Part of the NATO Advanced Study Institutes Series book series (ASIC, volume 78)


A general scheme which allows the analysis of self-tuning controllers is outlined. The emphasis is on indirect adaptive control methods applied to a given class of single input-single output, discrete time stochastic systems. These methods consist of an identification algorithm and a control law calculation algorithm. Sufficient conditions for both algorithms are given, which if fulfilled, guarantee the overall system to be stable, under an additional assumption on the estimated model of the system.


Adaptive Control Linear Time Invariant System Parametric Identification Method Adaptive Control Algorithm Stability Assumption 
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Copyright information

© D. Reidel Publishing Company 1981

Authors and Affiliations

  • J.-J. J. Fuchs
    • 1
  1. 1.IRISA — Laboratoire d’AutomatiqueCampus de BeaulieuRennes CédexFrance

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