Stable auto-tuning of the adaptation gain for direct adaptive control

Hazem Nounou, Kevin M. Passino

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

Direct adaptive control is a widely known control scheme in which the controller attempts to approximate the ideal controller directly. 'Approximators' such as linear mappings, polynomials, fuzzy systems, or neural networks can be used. Here, we present two algorithms to tune the adaptation gain for a gradient-based approximator parameter update law used for a class of nonlinear discrete-time systems.

Original languageEnglish
Pages (from-to)2154-2158
Number of pages5
JournalProceedings of the American Control Conference
Volume3
Publication statusPublished - 2000
Externally publishedYes

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Tuning
Controllers
Fuzzy systems
Polynomials
Neural networks

ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

Stable auto-tuning of the adaptation gain for direct adaptive control. / Nounou, Hazem; Passino, Kevin M.

In: Proceedings of the American Control Conference, Vol. 3, 2000, p. 2154-2158.

Research output: Contribution to journalArticle

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