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

Hazem Nounou, Kevin M. Passino

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Indirect adaptive control is a widely known control scheme in which we approximate parts of the plant dynamics that are used by a feedback controller to cancel the system nonlinearities. 'Approximators' such as linear mapping, 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)2159-2163
Number of pages5
JournalProceedings of the American Control Conference
Volume3
Publication statusPublished - 2000
Externally publishedYes

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Tuning
Control nonlinearities
Fuzzy systems
Polynomials
Neural networks
Feedback
Controllers

ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

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

In: Proceedings of the American Control Conference, Vol. 3, 2000, p. 2159-2163.

Research output: Contribution to journalArticle

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