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

Hazem N. Nounou, Kevin M. Passino

Research output: Contribution to journalConference article

7 Citations (Scopus)


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
Publication statusPublished - 1 Dec 2000
Event2000 American Control Conference - Chicago, IL, USA
Duration: 28 Jun 200030 Jun 2000

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Stable auto-tuning of the adaptation gain for direct adaptive control'. Together they form a unique fingerprint.

  • Cite this